Package index • ClinicoPath

All functions

ClinicoPath-package ClinicoPath: ClinicoPath: Comprehensive Analysis for Clinicopathological Research

aalenhazard(): Aalen's Additive Hazard Models

adaptivelasso(): Adaptive LASSO for Cox Models

adaptivetrialdesign(): Adaptive Trial Design Methods

advancedSurvivalPower(): Advanced Survival Power Analysis (Advanced)

advancedSurvivalPowerClass: Power Analysis for Survival Studies

advancedanova(): Advanced ANOVA Suite

advancedbarplot(): Advanced Bar Charts

advancedbarplotClass: Advanced Bar Charts - 5 Ways

advancedimputation(): Advanced Multiple Imputation & Sensitivity Analysis

advancedraincloud(): Advanced Raincloud Plot

advancedraincloudClass: Advanced Raincloud Plot with Longitudinal Support

advancedraincloud_data advancedraincloud_baseline advancedraincloud_endpoint advancedraincloud_change: Clinical Trial Test Datasets for Advanced Raincloud Plot

advancedtrials(): Advanced Clinical Trial Methods

advancedtrialsClass: Advanced Clinical Trial Methods

agepyramid(): Age Pyramid

agepyramidClass: Age Pyramid

agreement(): Interrater Reliability

agreementClass: Interrater Reliability Analysis

aivalidation(): AI Model Validation

aivalidationClass: AI Model Validation

alluvial(): Alluvial Diagrams

alluvial2(): Alluvial Diagrams

alluvial3(): Alluvial & Sankey Diagrams

alluvialClass: Alluvial Plot

alluvialSurvival(): Treatment Pathway Alluvial Plot

alluvialSurvivalClass: Alluvial Survival Plot

assayoptimization(): Assay Optimization & Experimental Design

assayoptimizationClass: Assay Optimization & Experimental Design

assess_clinical_relevance(): Assess Clinical Relevance of Effect Size

assess_clinical_significance(): Assess Clinical Significance

assess_limitations(): Assess Analysis Limitations

autoeda(): Automated Exploratory Data Analysis

autoedaClass: Automated Exploratory Data Analysis using DataExplorer

basegraphics(): Base Graphics Visualization

basegraphicsClass: Base Graphics Visualization

batcheffect(): Batch Effect Control & Quality Assessment

bayesdca(): Bayesian Decision Curve Analysis

bayesdcaClass: Bayesian Decision Curve Analysis

bayesianci(): Bayesian Confidence Intervals (Credible Intervals)

bayesianclinical(): Bayesian Clinical Analysis & Decision Making

bayesiandiagnostic(): Bayesian Diagnostic Test Evaluation

bayesianma(): Bayesian Model Averaging

bayesianmetaanalysis(): Bayesian Meta-Analysis

bayesiannetworkma(): Bayesian Network Meta-Analysis

bbcplots(): BBC-Style Data Visualization

bbcplotsClass: BBC-Style Data Visualization

benford(): Benford Analysis

benfordClass: Benford's Law Analysis

betabinomialdiagnostic(): Beta-Binomial Diagnostic Accuracy Models

biomarkerdiscovery(): Biomarker Discovery Platform with ML Interpretability

biomarkerdiscoveryClass: Biomarker Discovery Platform with ML Interpretability

biomarkerresponse(): Biomarker Response Association

biomarkerresponseClass: Biomarker Response Association

bootstrapIDI(): Bootstrap IDI calculation with confidence intervals

bootstrapNRI(): Bootstrap NRI calculation with confidence intervals

brierscore(): Brier Score & Integrated Brier Score

bujang_table2_validation: Bujang 2023 Table 2 Validation Data

calculateCEAC(): Calculate Cost-Effectiveness Acceptability Curve (CEAC)

calculateEVPI(): Calculate Expected Value of Perfect Information (EVPI)

calculateHScore(): Calculate H-Score from Intensity and Proportion

calculateIHCDistance(): Calculate Distance Matrix for IHC Data

calculateIHCMarkerSummary(): Calculate IHC Marker Summary Statistics

calculateIHCSilhouette(): Calculate Silhouette Analysis for Clustering Quality

calculate_auc(): Approximate AUC from sensitivity and specificity

calculate_effect_size(): Calculate Effect Size for T-Test

calculate_nlr(): Calculate negative likelihood ratio

calculate_npv(): Calculate negative predictive value (NPV)

calculate_plr(): Calculate positive likelihood ratio

calculate_ppv(): Calculate positive predictive value (PPV)

calculate_sensitivity(): Calculate test sensitivity

calculate_specificity(): Calculate test specificity

cancer_biomarkers: Cancer Biomarker Diagnosis Dataset

cardiac_joint_data: Cardiac Biomarkers and Heart Failure Events Data

cardiovascular_risk: Cardiovascular Risk Assessment Dataset

categoricaladvanced(): Enhanced Chi-Square and Fisher's Tests

categorize(): Categorize Continuous Variables

categorizeClass: Categorize Continuous Variables

causalmediation(): Causal Mediation Analysis

causalmediationClass: Causal Mediation Analysis

causespecifichazards(): Cause-Specific Hazards Models

causespecifichazardsClass: Cause-Specific Hazards Models

cd4_joint_data: CD4 Count and AIDS Progression Data

checkdata(): Single Variable Quality Check

chisqposttest(): Chi-Square Post-Hoc Tests

chisqposttestClass: Chi-Square Post-Hoc Tests - Enhanced Implementation

chisqposttest_test_data: Test Dataset for Chi-Square Post-Hoc Analysis

ciSingle(): Confidence Intervals for Mean Values

ciSingleClass: Enhanced confidence intervals for mean values

classicalSurvivalPower(): Classical Survival Power Analysis (Intermediate)

classicalSurvivalPowerClass: Survival Analysis Power & Sample Size

classification(): Clinical Classification

classificationClass: Enhanced Clinical Classification Analysis

clear_error_log(): Clear Error Log

clinical_trial_consort_data: Clinical Trial CONSORT Flow Data

clinicalalerts(): Clinical Alert & Threshold Monitoring

clinicalcalculators(): Clinical Risk Calculators & Nomograms

clinicalcalculatorsClass: Clinical Calculators Class

clinicaldashboard(): Interactive Clinical Dashboard

clinicaldashboardClass: Interactive Clinical Dashboard

clinicaldataintegration(): Clinical Data Integration

clinicaldataintegrationClass: Clinical Data Integration

clinicalheatmap(): Clinical Heatmap

clinicalheatmapClass: Clinical Heatmap with tidyheatmaps

clinicalnomograms(): Clinical Nomograms & Risk Calculators

clinicalnomogramsClass: Clinical Nomograms And Risk Calculators

clinicalprediction(): Clinical Prediction Models & ML Interpretability

clinicalpredictionClass: Clinical Prediction Models with ML Interpretability

clinicaltrialdesign(): Clinical Trial Design & Power Analysis

clinicalvalidation(): Clinical Model Validation Suite

clinicalvalidationinteractive(): Interactive Clinical Model Validation

clinicopath_cleanup(): Function Cleanup

clinicopath_error_handler(): ClinicoPath Error Handler

clinicopath_init(): Initialize ClinicoPath Error Handling System

clinicopath_startup_message(): Package startup message

clinicopath_warning_handler(): ClinicoPath Warning Handler

clinmon(): Clinical Hemodynamic Monitoring

clinmonClass: Clinical Hemodynamic Monitoring

cochranq(): Cochran's Q Test for Paired Categorical Data

cochranqClass: Cochran's Q Test for Paired Categorical Data

coefplot(): Coefficient Plots

coefplotClass: Coefficient Plots

cohenskappa(): Cohen's Kappa Agreement

comparingSurvival(): Comparing Survival Outcomes

comparingSurvivalClass: Comparing Survival Outcomes

competingRisksPower(): Competing Risks Power Analysis (Specialized)

competingsurvival(): Overall, Cause Specific, and Competing Survival

competingsurvivalClass: Competing Survival Analysis

comprehensiveSurvivalPower(): Comprehensive Survival Power Analysis (Expert)

comprehensiveSurvivalPowerClass: Comprehensive Survival Power Analysis

computeNRI(): Compute Net Reclassification Index (NRI)

concordanceindex(): Concordance Index (Harrell's C-index)

conditionalgee(): Conditional GEE for Recurrent Events Gap Times

conditionalgeeClass: Conditional GEE for Recurrent Events Gap Times

conditionalinference(): Conditional Inference Trees for Survival

conditionalinferenceClass: Conditional Inference Trees for Survival

conditionalsurvival(): Conditional Survival Estimation

condsurvival(): Conditional Survival Analysis

condsurvivalClass: Conditional Survival Analysis Class

consortdiagram(): CONSORT Flow Diagram

consortdiagramClass: CONSORT Flow Diagram

contTables(): Contingency Tables

contTablesClass: Contingency Tables Analysis Class

contTablesPaired(): Paired Samples Contingency Tables

contTablesPairedClass: Paired Contingency Tables Analysis Class

continuousmarkov(): Continuous-Time Markov Models

continuousmarkovClass: Continuous-Time Markov Models

continuousrelationship(): Continuous Variable Relationship Analysis

continuousrelationshipClass: Continuous Variable Relationship Analysis

convertIHCMarkerToNumeric(): Convert IHC Marker Data Types Safely

convertIHCToNumeric(): Convert IHC Marker Data to Numeric Matrix

correlationnetwork(): Correlation Network Analysis

correlationnetworkClass: Correlation Network Analysis

costeffectiveness(): Cost-Effectiveness Analysis

cotest(): Co-Testing Analysis

cotestClass: Co-Testing Analysis

coxdiagnostics(): Cox Proportional Hazards Model Diagnostics

coxdiagnosticsClass: Cox Proportional Hazards Model Diagnostics

coxphw(): Weighted Cox Regression

coxphwClass: Weighted Cox Regression

coxrobust(): Robust Cox Regression

coxrobustClass: Robust Cox Regression

createSafeHTMLContent(): Create Error-Safe HTML Content

create_enhanced_result(): Enhanced Result Structure

crosstable(): Cross Tables

crosstable2(): Cross Tables

crosstable2Class: Cross Table for Clinicopathological Comparisons

crosstableClass: Cross Tables Analysis Class

crosstablepivot(): Enhanced Cross Tables (Pivot)

crosstablepivotClass: Enhanced Cross Tables with Pivot Functionality

curemodels(): Cure Models for Long-term Survivors

curemodelsClass: Cure Models for Long-term Survivors

dataquality(): Multi-Variable Visual Quality

dataqualityClass: Data Quality Assessment

datetimeconverter(): DateTime Converter

datetimeconverterClass: DateTime Converter and Component Extractor

datevalidator(): Date/DateTime Validator

decision(): Medical Decision

decisionClass: Medical Decision Analysis

decision_test decision_screening decision_diagnostic decision_biomarker decision_imaging decision_infectious decision_small decision_large decision_perfect decision_poor decision_rare decision_common decision_missing decision_multilevel decision_pathology decision_pointofcare: Test Data for Medical Decision Analysis

decisioncalculator(): Medical Decision Calculator

decisioncalculatorClass: Decision Calculator

decisioncombine(): Combine Medical Decision Tests

decisioncombineClass: Combine Medical Decision Tests

decisioncompare(): Compare Medical Decision Tests

decisioncompareClass: Compare Medical Decision Tests

decisioncompare_common: decisioncompare Common Disease Data

decisioncompare_identical: decisioncompare Identical Tests Data

decisioncompare_imaging: decisioncompare Imaging Data - Multi-Modality Comparison

decisioncompare_indeterminate: decisioncompare Indeterminate Results Data

decisioncompare_large: decisioncompare Large Sample Data

decisioncompare_missing: decisioncompare Missing Data

decisioncompare_perfect: decisioncompare Perfect Test Data

decisioncompare_poor: decisioncompare Poor Performance Data

decisioncompare_rare: decisioncompare Rare Disease Data

decisioncompare_raters: decisioncompare Inter-Rater Data

decisioncompare_screening: decisioncompare Screening Data

decisioncompare_small: decisioncompare Small Sample Data

decisioncompare_test: decisioncompare Test Data - Basic Two-Test Comparison

decisioncompare_threetest: decisioncompare Three-Test Data

decisioncurve(): Decision Curve Analysis

decisioncurveClass: Decision Curve Analysis

decisiongraph(): Decision Tree Graph for Cost-Effectiveness Analysis

decisionpanel(): Decision Panel Optimization

deeplearningprediction(): Deep Learning Image Prediction

deeplearningpredictionClass: Deep Learning Image Prediction

dendrogram(): Dendrogram

desctools(): Advanced Statistical Tests

desctoolsClass: Advanced Statistical Tests

diagnostic_sample_size_examples: Diagnostic Sample Size Planning Examples

diagnosticmeta(): Diagnostic Test Meta-Analysis for Pathology

diagnosticmetaClass: Diagnostic Test Meta-Analysis for Pathology

diagnosticmeta_test diagnosticmeta_test_small diagnosticmeta_test_categorical diagnosticmeta_test_zeros diagnosticmeta_test_large: Diagnostic Meta-Analysis Test Datasets

diagnosticperformance(): Diagnostic Performance Analysis

diagnosticsamplesize(): Diagnostic Test Sample Size Calculator

differentialdiagnosis(): Differential Diagnosis Assistance

digitalvalidation(): Digital Pathology Validation

directbinomial(): Direct Binomial Regression for Competing Risks

directregression(): Direct Regression on Survival Function

distributionfit(): Distribution Selection and Goodness-of-Fit

.calculate2x2Metrics(): Comprehensive 2x2 Diagnostic Metrics Calculator

.calculateAccuracy(): Calculate Accuracy

.calculateDOR(): Calculate Diagnostic Odds Ratio

.calculateF1Score(): Calculate F1 Score (Harmonic Mean of Precision and Recall)

.calculateLRMinus(): Calculate Negative Likelihood Ratio

.calculateLRPlus(): Calculate Positive Likelihood Ratio

.calculateMCC(): Calculate Matthews Correlation Coefficient

.calculateNPV(): Calculate Negative Predictive Value

.calculatePPV(): Calculate Positive Predictive Value (Precision)

.calculateSensitivity(): Calculate Sensitivity (True Positive Rate)

.calculateSpecificity(): Calculate Specificity (True Negative Rate)

.calculateYouden(): Calculate Youden's J Index

.calculate_weibull_events(): Calculate expected number of events for Weibull distribution

.clinicopath_errors: ClinicoPath Enhanced Error Handling Framework

.createNoticeHTML(): Cross Table for Clinicopathological Comparisons

.escapeVar(): Summary of Continuous Variables with Distribution Diagnostics

.escapeVariableNames(): Decision Panel Optimization

.formatDiagnosticTable(): Format Diagnostic Metrics Table for Display

.get_lognormal_parameters(): Calculate log-normal distribution parameters from median survival

.get_piecewise_exponential_parameters(): Calculate piecewise exponential parameters

.get_weibull_parameters(): Survival Power Analysis - Distribution Support Module

.interpretDOR(): Interpret Diagnostic Odds Ratio

.interpretLR(): Interpret Likelihood Ratio Values

.lognormal_survival(): Calculate survival probability for log-normal distribution

.piecewise_exponential_survival(): Calculate survival probability for piecewise exponential

.sensitivityCI(): Calculate Confidence Interval for Sensitivity

.simulate_survival_trial(): Simulate a survival trial dataset

.specificityCI(): Calculate Confidence Interval for Specificity

.validate_doi(): Find Retracted Papers from DOI

.validate_power_by_simulation(): Validate power calculation using simulation

.weibull_hazard(): Calculate hazard function for Weibull distribution

.weibull_survival(): Calculate survival probability at time t for Weibull distribution

drug_response: Drug Response Prediction Dataset

dynamiccoeff(): Dynamic Coefficient Models

dynamiccoeffClass: Dynamic Coefficient Models

dynamicprediction(): Dynamic Survival Prediction

economistplots(): Economist-Style Distribution Plots

economistplotsClass: Economist-Style Distribution Plots

effectsize(): Comprehensive Effect Size Analysis

effectsizeClass: Effect Size Analysis

emfrailty(): EM-Algorithm Frailty Models

emfrailtyClass: EM-Algorithm Frailty Models

enhancedROC(): Clinical ROC Analysis

enhancedROCClass: Enhanced ROC Analysis Class

enhanced_ttest(): Enhanced T-Test with Robust Error Handling

enhanced_wrapper_example: Enhanced Wrapper Example for ClinicoPath Functions

enhancedcorrelation(): Enhanced Correlation Analysis

enhancedcorrelationClass: Enhanced Correlation Analysis

enhancedcrosstable(): Enhanced Cross Tables with danchaltiel/crosstable

enhancedcrosstableClass: Enhanced Cross Tables with danchaltiel/crosstable

enhancedfactorvariable(): Enhanced Factor Variable Analysis with BlueSky Integration

enhancedfactorvariableClass: Enhanced Factor Variable Analysis Class

enhancedfrequency(): Enhanced Frequency Analysis with BlueSky Integration

enhancedfrequencyClass: Enhanced Frequency Analysis Class

enhancedtables(): Enhanced Tables with gt

enhancedtablesClass: Enhanced Tables with gt

enhancedtwowayfrequency(): Enhanced Two-Way Frequency Analysis with BlueSky Integration

enhancedtwowayfrequencyClass: Enhanced Two-Way Frequency Analysis

entropyanalysis(): Entropy and Mutual Information Analysis

entropyanalysisClass: Entropy and Mutual Information Analysis

epidemiosurvival(): Epidemiological Survival Analysis

epidemiosurvivalClass: Epidemiological Survival Analysis

esquisseauto(): Auto-Plot (esquisse)

esquisseautoClass: Auto-Plot using esquisse

eurostatmap(): Eurostat Map

eurostatmapClass: Eurostat Map

exacttests(): Exact Tests for Small Samples

exacttestsClass: Exact Tests for Small Samples

excessmortality(): Excess Mortality Analysis

excessmortalityClass: Excess Mortality Analysis

explainableai(): Explainable AI Analysis

explainableaiClass: Explainable AI Analysis

extratrees(): Extremely Randomized Trees for Survival

extratreesClass: Extremely Randomized Trees for Survival

factoranalysis(): Comprehensive Factor Analysis

factoranalysisClass: Factor Analysis Class

featurequality(): Feature Quality Assessment

finegray(): Fine-Gray Competing Risks Regression

finegrayClass: Fine-Gray Competing Risks Regression

flexcomprisk(): Flexible Competing Risks Models

flexiblerelativesurvival(): Flexible Relative Survival Analysis

flexiblerelativesurvivalClass: Flexible Relative Survival Analysis

flexmultistate(): Flexible Multi-State Survival Models

flexmultistateClass: Flexible Multi-State Survival Models

flexparametric(): Flexible Parametric Survival Models (Enhanced)

flexparametricClass: Flexible Parametric Survival Models

flexrstpm2(): Comprehensive Flexible Parametric Survival Models

formatIHCPValue(): Format P-values Consistently for IHC Reports

frailtysurvival(): Frailty & Random Effects Survival Models

frailtysurvivalClass: Frailty & Random Effects Survival Models

friedmantest(): Friedman Test for Non-Parametric Repeated Measures

friedmantestClass: Friedman Test for Non-Parametric Repeated Measures

functionalsampling(): Functional Sampling - Rare Event Analysis

gee_liver_data: Example Liver Pathology Data for GEE Analysis

geemodel(): Generalized Estimating Equations

geemodelClass: Generalized Estimating Equations

generalizedroc(): Generalized ROC Analysis

generalizedrocClass: Generalized ROC Analysis

generalpseudo(): Generalized Pseudo-Observations

generate_clinical_interpretation(): Generate Clinical Interpretation

generate_clinical_summary(): Generate Clinical Summary

generate_statistical_summary(): Generate Statistical Summary

generate_user_friendly_error(): Generate User-Friendly Error Message

generate_user_friendly_warning(): Generate User-Friendly Warning Message

getIHCColorPalette(): Get Professional Color Palette for IHC Visualizations

getIHCSignificanceStars(): Get Significance Stars for P-values

getIHCTheme(): Get Professional IHC Visualization Theme

getTreeAnalysisSteps(): Create Tree Analysis Progress Steps

get_analysis_recommendations(): Get Analysis Recommendations

get_clinical_context(): Clinical Context Wrapper

get_clinical_recommendations(): Get Clinical Recommendations

get_error_summary(): Get Error Summary

ggprism(): GraphPad Prism Style Plots

ggprismClass: GraphPad Prism Style Plots

gradientboosting(): Gradient Boosting for Survival Analysis

gradientboostingClass: Gradient Boosting for Survival Analysis

grafify(): Scientific Visualization with Grafify

grafifyClass: Scientific Visualization with Grafify

`%||%`: IHC Survival Analysis

greyzoneroc(): Grey-zone (Fuzzy) ROC Analysis

groupedbar(): Grouped Bar Chart Comparison

groupedbarClass: Grouped Bar Chart Comparison

groupedforest(): Grouped Hazard Forest Plot

groupedforestClass: Grouped Hazard Forest Plot for Subgroup Analysis

grouplasso(): Group LASSO for Survival Analysis

groupsummary(): Group and Summarize

groupsummaryClass: Group and Summarize

gtsummary(): Publication-Ready Tables with gtsummary

gtsummaryClass: Publication-Ready Tables with gtsummary

haralicktexture(): Haralick Texture Analysis

hiddenmarkov(): Hidden Markov Models for Survival

hierarchicalbayes(): Hierarchical Bayesian Diagnostic Models

hierarchicalpathology(): Hierarchical Mixed-Effects Models

highdimcox(): High-Dimensional Cox Regression

hullplot(): Hull Plot

hullplotClass: Hull Plot for Group Visualization

icccoeff(): Intraclass Correlation Coefficient

icccoeffClass: Intraclass Correlation Coefficient

idi(): Integrated Discrimination Improvement (IDI)

ihcadvanced(): Advanced IHC Clustering Analysis

ihcbasic(): Basic IHC Analysis

ihcbasicClass: Basic IHC Analysis

ihccluster(): IHC Clustering Analysis

ihcclusterClass: IHC Clustering Analysis Backend

ihcdiagnostic(): IHC Diagnostic Analysis

ihcheterogeneity(): IHC Heterogeneity Analysis

ihcimmune(): IHC Immune Analysis

ihcpredict(): IHC Diagnostic Prediction

ihcscoring(): IHC Scoring Standardization

ihcsurvival(): IHC Survival Analysis

ihcthreshold(): IHC Threshold Determination

illnessdeath(): Illness-Death Multi-State Models

imagingcorrelation(): Imaging Findings Correlation

intervalcensorcure(): Interval-Censored Cure Models

intervalsurvival(): Interval-Censored Survival Analysis

intervalsurvivalClass: Interval-Censored Survival Analysis

irecist(): iRECIST Analysis

irecistClass: iRECIST Analysis

is_in_range(): Check if value is within valid range

jamovi_tutorial_builder_static_app_html(): Jamovi tutorial builder static HTML

jcomplexupset(): Complex UpSet Plot Visualization

jcomplexupsetClass: Complex UpSet Plot Visualization

jcorrelation(): Correlation Analysis

jcorrelationClass: Correlation Analysis

jextractggstats(): Statistical Data Extraction from ggstatsplot

jextractggstatsClass: Statistical Data Extraction from ggstatsplot

jforester(): Forest Plot Visualization

jforesterClass: Forest Plot Visualization

jforestmodel(): Forest Plot Visualization

jforestmodelClass: Forest Plot Visualization

jggheatmap(): Advanced Heatmap Visualization

jggstats(): Enhanced Statistical Visualization

jiwillsurvive(): Intuitive Survival Analysis

jiwillsurviveClass: Intuitive Survival Analysis

jjarcdiagram(): Arc Diagram

jjarcdiagramClass: Arc Diagram

jjbarstats(): Bar Charts

jjbarstatsClass: Bar Charts

jjbetweenstats(): Box-Violin Plots to Compare Between Groups

jjbetweenstatsClass: Violin Plots to Compare Between Groups

jjcoefstats(): Coefficient Forest Plot (ggcoefstats)

jjcoefstatsClass: Coefficient Forest Plot (ggcoefstats)

jjcorrmat(): Correlation Matrix

jjcorrmatClass: Correlation Matrix

jjdotplotstats(): Dot Chart

jjdotplotstatsClass: Dot Chart

jjhistostats(): Histogram

jjhistostatsClass: Histogram

jjoncoplot(): Genomic Landscape Visualization

jjoncoplotClass: Genomic Landscape Visualization

jjpiestats(): Pie Charts

jjpiestatsClass: Pie Charts

jjpubr(): Publication-Ready Plots (ggpubr)

jjpubrClass: Publication-Ready Plots using ggpubr

jjradarplot(): Radar Plot

jjradarplotClass: Radar Plot

jjridges(): Ridge Plot

jjridgesClass: Advanced Ridge Plot

jjriverplot(): River Plots

jjscatterstats(): Scatter Plot

jjscatterstatsClass: Scatter Plot

jjsegmentedtotalbar(): Segmented Total Bar Charts

jjsegmentedtotalbarClass: Segmented Total Bar Charts

jjsyndromicplot(): Syndromic Plot (PCA Loadings)

jjsyndromicplotClass: Syndromic Plot for PCA

jjtreemap(): Treemap

jjtreemapClass: Treemap

jjwithinstats(): Box-Violin Plots to Compare Within Groups

jjwithinstatsClass: Violin Plots to Compare Within Group (Repeated Measures)

jointfrailty(): Joint Frailty Models for Recurrent Events

jointfrailtyClass: Joint Frailty Models for Recurrent Events

jointmodeling(): Joint Longitudinal-Survival Models

jointmodelingClass: Joint Longitudinal-Survival Models

jpps(): Predictive Power Score Analysis

jppsClass: Predictive Power Score Analysis

jrecode(): Recoding

jscattermore(): High-Performance Scatter Plots

jsjplot(): Social Science Statistical Visualization

jsummarytools(): Summary Statistics with summarytools

jviolin(): Professional Violin Plot

jviolinClass: Violin Plot

jvisr(): Clinical Research Visualization with visR

jwaffle(): Waffle Charts

jwaffleClass: Waffle Charts for Categorical Data Visualization

kappaSizeCI(): Confidence Interval Approach for the Number of Subjects Required

kappaSizeCIClass: Confidence Interval Approach for the Number of Subjects Required

kappaSizeFixedN(): Lowest Expected Value for a fixed sample size

kappaSizeFixedNClass: Lowest Expected Value for a fixed sample size

kappaSizePower(): Power Approach for the Number of Subjects Required

kappaSizePowerClass: Power Analysis for Inter-rater Agreement Studies

kidney_joint_data: Kidney Function Decline and ESRD/Death Data

labcontrolcharts(): Laboratory Control Charts (Shewhart, CUSUM, EWMA)

labinterpret(): Laboratory Result Interpretation

landmarkanalysis(): Landmark Analysis for Time-varying Predictors

landmarkanalysisClass: Landmark Analysis for Time-varying Predictors

lassocox(): Lasso-Cox Regression

lassocoxClass: Lasso-Cox Regression for Variable Selection in Survival Analysis

likelihoodratio(): Likelihood Ratio Analysis

linechart(): Line Chart

linechartClass: Line Chart for Time Series and Trend Analysis

load_required_package(): Load required packages with error handling

lollipop(): Lollipop Chart

lollipopClass: Lollipop Charts for Categorical Data Visualization

mantelhaenszel(): Mantel-Haenszel Stratified Analysis

marginalrecurrent(): Marginal Models for Recurrent Events

marginalrecurrentClass: Marginal Models for Recurrent Events

markovmultistate(): Markov Multi-State Models

measurementuncertainty(): Measurement Uncertainty Estimation

mediansurvival(): Median Survival Comparisons

mediansurvivalClass: Median Survival Comparisons

medical_ai_data: Medical AI Validation Example Dataset

mendelianrandomization(): Mendelian Randomization

mendelianrandomizationClass: Mendelian Randomization

metaanalysis(): Meta-Analysis & Evidence Synthesis

methodcomparison(): Method Comparison Analysis

methodvalidation(): Laboratory Method Validation Protocols

missingdata(): Missing Data Analysis and Imputation

missingdataexplorer(): Missing Data Pattern Explorer

mixedcox(): Mixed-Effects Cox Regression

mixedeffectscox(): Mixed-Effects Cox Models

mixedeffectscoxClass: Mixed-Effects Cox Models

mixedmodelanova(): Mixed Model ANOVA

mlpathology(): Classification Performance Metrics for Digital Pathology

mlpathologyClass: Classification Performance Metrics for Digital Pathology

modalitycomparison(): Modality Comparison Analysis

modalitycomparisonClass: Modality Comparison Analysis

modelbuilder(): Prediction Model Builder

modelperformance(): Multi-Model Performance Comparison

modelperformanceClass: Multi-Model Performance Comparison

modelval(): Model Validation Dashboard

modelvalClass: Model Validation Dashboard

multicenter_trial_data: Multi-center Clinical Trial Data

multiclassdiagnostics(): Multi-class Diagnostic Performance Evaluation

multiclassroc(): Multi-class ROC Analysis

multiclassrocClass: Multi-class ROC Analysis

multiplexanalysis(): Multiplex Immunofluorescence Analysis

multistatesurvival(): Multistate Survival Models

multistatesurvivalClass: Multistate Survival Models

multisurvival(): Multivariable Survival Analysis

ncvregcox(): Smoothly Clipped Absolute Deviation Cox Regression

netreclassification(): Net Reclassification Improvement (NRI)

nogoldstandard(): Analysis Without Gold Standard

nogoldstandard_allnegative: nogoldstandard All Negative Data

nogoldstandard_allpositive: nogoldstandard All Positive Data

nogoldstandard_common: nogoldstandard Common Disease Data

nogoldstandard_highagreement: nogoldstandard High Agreement Data

nogoldstandard_imbalanced: nogoldstandard Imbalanced Test Characteristics Data

nogoldstandard_large: nogoldstandard Large Sample Data

nogoldstandard_lowagreement: nogoldstandard Low Agreement Data

nogoldstandard_missing: nogoldstandard Missing Data

nogoldstandard_pathology: nogoldstandard Pathology Data - Inter-Pathologist Agreement

nogoldstandard_perfect: nogoldstandard Perfect Agreement Data

nogoldstandard_rare: nogoldstandard Rare Disease Data

nogoldstandard_screening: nogoldstandard Screening Data - Five-Test Panel

nogoldstandard_small: nogoldstandard Small Sample Data

nogoldstandard_test: nogoldstandard Test Data - Basic Two-Test Analysis

nogoldstandard_tumormarker: nogoldstandard Tumor Marker Data - Four-Marker Panel

nogoldstandard_validation: nogoldstandard Diagnostic Validation Data

nomogrammer(): Fagan Nomogram for Diagnostic Test Analysis

nonparametric(): Non-Parametric Statistical Methods

nonparametricregression(): Non-parametric Regression Methods

observational_study_flow_data: Observational Study Flow Data

oddsratio(): Odds Ratio Table and Plot

oddsratioClass: Odds Ratio Analysis for Binary Outcomes

oddsratio_test oddsratio_diagnostic oddsratio_casecontrol oddsratio_multiple oddsratio_small oddsratio_large: Test Datasets for Odds Ratio Function

Melanoma_df oncology_datasets_summary View() PSAProstateCancer_df BreastCancerWI_df: Oncology Datasets from OncoDataSets Package

oncology_datasets_summary: Oncology Datasets Summary

oneSurvival(): One Survival Outcome

oneSurvivalClass: Kaplan-Meier Survival Analysis for Single Group

optimalcutpoint(): Optimal Cutpoint Determination

ordinalroc(): Ordinal ROC Analysis

outbreakanalysis(): Outbreak Analysis & Epidemiological Investigation

outbreakanalysisClass: Outbreak Analysis & Epidemiological Investigation

outcomeorganizer(): Outcome Organizer for Survival Analysis

outcomeorganizerClass: Enhanced Outcome Organizer for Survival Analysis

outcomeorganizer_os outcomeorganizer_compete outcomeorganizer_pfs outcomeorganizer_rfs outcomeorganizer_causespecific outcomeorganizer_multistate outcomeorganizer_dfs outcomeorganizer_small outcomeorganizer_censored outcomeorganizer_allevents: Test Datasets for Outcome Organizer Function

outlierdetection(): Outlier Detection

outlierdetectionClass: Outlier Detection with easystats

pagetrendtest(): Page's Trend Test for Ordered Alternatives

pagetrendtestClass: Page's Trend Test for Ordered Alternatives

parallelplot(): Parallel Coordinates Plot

parallelplotClass: Parallel Coordinates Plot - Simplified Implementation

parametricfrailty(): Parametric Frailty Models

parametricfrailtyClass: Parametric Frailty Models

partialcorrelation(): Enhanced Partial Correlation Analysis with BlueSky Integration

partialcorrelationClass: Partial Correlation Analysis

pathagreement(): Pathology Interrater Reliability

pathagreementClass: Pathology Interrater Reliability Analysis

pathology_diagnosis: Pathology Diagnosis Dataset

pathologyagreement(): Pathology Agreement Analysis

pathologyagreementClass: Pathology Agreement Analysis Class

pathologycomposition(): Pathology Composition Analysis

pathologycompositionClass: Pathology Composition Analysis

pathsampling(): Pathology Sampling Adequacy Analysis

patientdashboard(): Patient Monitoring Dashboard

patientreported(): Patient-Reported Outcomes & Quality of Life Analysis

patientreportedClass: Patient-Reported Outcomes & Quality of Life Analysis

patientsimilarity(): Patient Similarity Clustering

patientsimilarityClass: Patient Similarity Clustering - Discover Patient Subgroups

pcacomponenttest(): PCA Component Significance Test

pcacomponenttestClass: PCA Component Significance Test

pcacox(): Principal Component Cox Models

pcacoxClass: Principal Component Cox Models

pcaloadingheatmap(): PCA Loading Heatmap & Barmap

pcaloadingheatmapClass: PCA Loading Heatmap

pcaloadingtest(): PCA Loading Significance Test

pcaloadingtestClass: PCA Loading Significance Test

pcaloadingtest_data: Example Dataset for PCA Loading Significance Test

pediatric_growth: Pediatric Growth Assessment Dataset

penalizedcox(): Penalized Cox Regression

penalizedcoxregression(): Penalized Cox Regression

performMonteCarloSimulation(): Perform Monte Carlo Simulation for PSA (Deprecated)

permutationsurvival(): Permutation Tests for Survival

pheval(): Proportional Hazards Testing

phevalClass: Proportional Hazards Testing

plscox(): Partial Least Squares Cox Models

polychoriccorr(): Polychoric Correlation Analysis

polychoriccorrClass: Polychoric Correlation Analysis

populationhealth(): Population Health Analytics

ppv(): Positive Predictive Value

ppvClass: Positive Predictive Value Calculator

prauc(): Precision-Recall Analysis

precisionrecall(): Precision-Recall Curve

predmodel(): Clinical Prediction Model

predmodelClass: Clinical Prediction Model

principalcox(): Principal Component Cox Models

print(<sensSpecTable>): Print formatted HTML table for sensitivity/specificity results

progressionsurvival(): Progression-Free Survival Analysis

progressionsurvivalClass: Progression-Free Survival Analysis

prop_to_percent(): Convert proportion to percentage string

psa_joint_data: PSA Trajectory and Prostate Cancer Survival Data

pseudosurvival(): Pseudo-Observations Survival Methods

pseudosurvivalClass: Pseudo-Observations Survival Methods

psychopdaROC(): Advanced ROC Analysis

psychopdaROCClass: Comprehensive ROC Analysis with Advanced Features

psychopdaROC_cardiac: psychopdaROC Cardiac Data - Myocardial Infarction Biomarkers

psychopdaROC_constant: psychopdaROC Constant Predictor Data

psychopdaROC_costbenefit: psychopdaROC Cost-Benefit Data

psychopdaROC_imbalanced: psychopdaROC Imbalanced Classes Data

psychopdaROC_large: psychopdaROC Large Sample Data

psychopdaROC_missing: psychopdaROC Missing Data

psychopdaROC_multibiomarker: psychopdaROC Multi-Biomarker Data

psychopdaROC_overlap: psychopdaROC Overlapping Distributions Data

psychopdaROC_perfect: psychopdaROC Perfect Separation Data

psychopdaROC_poor: psychopdaROC Poor Discrimination Data

psychopdaROC_rare: psychopdaROC Rare Disease Data

psychopdaROC_screening: psychopdaROC Screening Data - Cancer Detection

psychopdaROC_small: psychopdaROC Small Sample Data

psychopdaROC_spectrum: psychopdaROC Disease Spectrum Data

psychopdaROC_subgroup: psychopdaROC Subgroup Analysis Data

psychopdaROC_test: psychopdaROC Test Data - Basic Diagnostic Test

psychopdaROC_timedep: psychopdaROC Time-Dependent Biomarker Data

qtwist(): Q-TWiST Analysis

qtwistClass: Q-TWiST Analysis

qualitycontrol(): Laboratory Quality Control Statistics

qualityoflife(): Quality of Life Analysis & Patient-Centered Outcomes

qualityoflifeClass: Quality of Life Analysis & Patient-Centered Outcomes

raftgee(): Rank-based AFT Estimation

raftgeeClass: Rank-based AFT Estimation with GEE

raincloud(): Raincloud Plot

raincloudClass: Raincloud Plot for Distribution Visualization

raw_to_prob(): Convert raw test values to predicted probabilities using ROC curve

recist(): RECIST 1.1 Multi-Lesion Aggregation

recistClass: RECIST 1.1 Multi-Lesion Aggregation

reclassmetrics(): Model Reclassification Metrics (NRI & IDI)

reclassmetricsClass: Model Reclassification Metrics (NRI & IDI)

recurrentsurvival(): Recurrent Event Survival Analysis

recurrentsurvivalClass: Recurrent Event Survival Analysis

referenceintervals(): Reference Interval Establishment

relativesurvival(): Relative Survival Analysis

relativesurvivalClass: Relative Survival Analysis

reportcat(): Summary of Categorical Variables

reportcat2(): Enhanced Frequencies

reportcat2Class: Summary of Categorical Variables

reportcatClass: Summary of Categorical Variables

retracted(): Find Retracted Papers from DOI

riverplot(): River Plots & Alluvial Diagrams

riverplotClass: River Plots & Alluvial Diagrams

rmst(): Restricted Mean Survival Time Tests

rmstregression(): Restricted Mean Survival Time Regression

robustaft(): Robust AFT Models

robustaftClass: Robust AFT Models

robustcorrelation(): Robust Correlation Methods

roc2d(): Two-Dimensional ROC Analysis

rocreg(): ROC Regression (Covariate-Adjusted ROC)

safe_divide(): Safe division function

safe_execute(): Safe Execution Wrapper

samplingerror(): Sampling Error & Efficiency Calculator

screeningcalculator(): Screening Test Calculator

screeningcalculatorClass: Screening Test Calculator

screeningevaluation(): Screening Program Evaluation & Performance Analysis

screeningevaluationClass: Screening Program Evaluation & Performance Analysis

segmentationmetrics(): Segmentation Metrics (Dice, IoU, Hausdorff)

semimarkov(): Semi-Markov Models

sequentialtests(): Sequential Testing Analysis

sequentialtestsClass: Sequential Testing Analysis

showIHCDataRequirements(): Generate IHC Data Requirements HTML

sigmametrics(): Six Sigma Metrics for Laboratory Performance

simonmakuch(): Simon-Makuch Time-Dependent Survival Analysis

simonmakuchClass: Simon-Makuch Time-Dependent Survival Analysis

simpleSurvivalPower(): Simple Survival Power Analysis (Basic)

simple_cancer_data: Simple Tumor Marker and Cancer Progression Data

singlearm(): Single Arm Survival

singlearm_test singlearm_dates singlearm_compete singlearm_causespecific singlearm_landmark singlearm_dmy singlearm_mdy singlearm_datetime singlearm_longfu singlearm_shortfu singlearm_persontime singlearm_small singlearm_censored singlearm_allevents singlearm_early singlearm_missing singlearm_zerotime singlearm_large: Test Datasets for Single Arm Survival Function

small_sample_tree: Small Sample Edge Case Dataset

smoothhazard(): Smooth Hazard Estimation & Analysis

smoothhazardClass: Smooth Hazard Estimation & Analysis

smoothtimevary(): Smoothly Time-Varying Effects

sparsegrouplasso(): Sparse Group LASSO

spatialanalysis(): Spatial Statistics from Coordinates

spatialautocorrelation(): Spatial Autocorrelation Analysis (Moran's I, Geary's C)

spatialbayesiansurvival(): Spatial Bayesian Survival Analysis

spikeslabpriors(): Spike-and-Slab Variable Selection

splinehazard(): Spline-based Hazard Functions

stagemigration(): Advanced TNM Stage Migration Analysis

stagemigrationClass: Advanced TNM Stage Migration Analysis

statsplot2(): Automatic Plot Selection

statsplot2Class: Plots and Graphs Based on Variable Types

stereology(): Stereology Analysis

stereology_vessel_data: Example Vessel Density Data for Stereology Analysis

stratifiedparametric(): Stratified Parametric Models

studydiagram(): Study Diagram

studydiagramClass: Study Diagram

subgroupforest(): Subgroup Analysis Forest Plot

subgroupforestClass: Subgroup Analysis Forest Plot

summarydata(): Summary of Continuous Variables

summarydata2(): Enhanced Descriptives

summarydata2Class: Enhanced Summary Statistics for Continuous and Date Variables

superpc(): Supervised Principal Components Cox Regression

surveysurvival(): Survey-Weighted Survival Analysis

survival(): Survival Analysis

survivalPower(): Survival Power Analysis

survivalbart(): Bayesian Additive Regression Trees (BART) for Survival

survivalcalibration(): Time-Dependent Survival Calibration

survivalcalibrationClass: Time-Dependent Survival Calibration

survivalcont(): Survival Analysis for Continuous Variable

survivalcontClass: Survival Analysis for Continuous Explanatory Variable

survivalcont_test survivalcont_ki67 survivalcont_psa survivalcont_hemoglobin survivalcont_tumorsize survivalcont_age survivalcont_compete survivalcont_dates survivalcont_landmark survivalcont_multicut survivalcont_expression survivalcont_small survivalcont_nocutoff survivalcont_extreme survivalcont_missing survivalcont_constant survivalcont_large: Test Datasets for Survival Continuous Variable Function

survivalendpoints(): Survival Endpoint Derivation

survivalendpointsClass: Survival Endpoint Derivation

survivalfeaturerank(): Survival Feature Ranking

survivalfeaturerankClass: Survival Feature Ranking - Univariate Cox Screening

survivalmodelvalidation(): Enhanced Survival Model Validation

survivalmodelvalidationClass: Enhanced Survival Model Validation

survivalpower(): Enhanced Survival Analysis Power & Sample Size

survivalvalidation(): Survival Model Validation

survivalvalidationClass: Survival Model Validation

swimmer_unified_basic: Basic Swimmer Plot Example Data

swimmer_unified_comprehensive: Comprehensive Swimmer Plot Example Data

swimmer_unified_datetime: DateTime Swimmer Plot Example Data

swimmer_unified_events: Event Markers Swimmer Plot Example Data

swimmer_unified_oncology: Oncology Clinical Trial Swimmer Plot Data

swimmerplot(): Swimmer Plot

swimmerplotClass: Swimmer Plot

tableone(): Table One

tableoneClass: Table One

thresholdregression(): Threshold Regression Models

tidydensity(): Statistical Distribution Generator

tidydensityClass: Statistical Distribution Generator and Analyzer

tidyplots(): Comprehensive Tidy Plots

tidyplotsClass: Comprehensive Tidy Plots with Advanced Statistical Visualization

tidyplots_datasets tidyplots_medical tidyplots_education tidyplots_business tidyplots_environmental tidyplots_demo: Comprehensive Test Datasets for Tidyplots Function

timedependent(): Time-Dependent Covariates & ROC Analysis

timedependentClass: Time-Dependent Covariates & ROC Analysis

timedependentdca(): Time-Dependent Decision Curve Analysis

timedependentdcaClass: Time-Dependent Decision Curve Analysis Class

timeinterval(): Comprehensive Time Interval Calculator

timeintervalClass: Comprehensive Time Interval Calculator for Survival Analysis

timeinterval_test timeinterval_ymd timeinterval_dmy timeinterval_mdy timeinterval_ymdhms timeinterval_landmark timeinterval_quality timeinterval_extreme timeinterval_small timeinterval_large timeinterval_trial timeinterval_shortterm timeinterval_longterm timeinterval_sameday timeinterval_negative timeinterval_allmissing timeinterval_mixedformat: Test Datasets for Time Interval Function

timeroc(): Enhanced ROC Analysis

timerocClass: Enhanced ROC Analysis for Clinical Research

timeroc_cancer_biomarker: Cancer Biomarker Time-Dependent ROC Test Dataset

timeroc_cardiovascular_risk: Cardiovascular Risk Prediction Test Dataset

timeroc_competing_risks: Competing Risks Analysis Test Dataset

timeroc_cancer_biomarker timeroc_cardiovascular_risk timeroc_multi_biomarker timeroc_landmark_biomarker timeroc_edge_cases timeroc_competing_risks: TimeROC Test Datasets

timeroc_datasets_summary: TimeROC Dataset Summary Information

timeroc_edge_cases: Edge Cases and Quality Testing Dataset

timeroc_landmark_biomarker: Landmark Biomarker Analysis Test Dataset

timeroc_multi_biomarker: Multi-Biomarker Comparison Test Dataset

timeroc_test_scenarios: TimeROC Test Scenarios Documentation

timeupdatedsurvival(): Time-Updated Survival Estimates

timeupdatesurvival(): Time-Updated Survival Estimates

timevarycox(): Time-Varying Covariates Cox Regression

tinytable(): Modern Table Formatting

tinytableClass: Modern Table Formatting with TinyTable

tinytable_clinical_demographics: Clinical Research Demographics Test Dataset

tinytable_clinical_demographics tinytable_laboratory_results tinytable_multimodal_summary tinytable_timeseries_summary tinytable_edge_cases tinytable_small_sample: TinyTable Test Datasets

tinytable_datasets_summary: TinyTable Dataset Summary Information

tinytable_edge_cases: Edge Cases and Quality Testing Dataset

tinytable_laboratory_results: Laboratory Results Test Dataset

tinytable_multimodal_summary: Multi-Modal Data Summary Test Dataset

tinytable_small_sample: Small Sample Size Test Dataset

tinytable_test_scenarios: TinyTable Test Scenarios Documentation

tinytable_timeseries_summary: Time Series Summary Test Dataset

toolssummary(): Tools for data summary

toolssummaryClass: Tools for data summary with summarytools integration

toolssummary_clinical_demographics: Clinical Research Demographics with Treatment Groups

toolssummary_clinical_demographics toolssummary_laboratory_results toolssummary_mixed_datatypes toolssummary_timeseries_data toolssummary_edge_cases toolssummary_small_sample: Enhanced Tools for Data Summary Test Datasets

toolssummary_datasets_summary: Enhanced Tools for Data Summary Dataset Collection Summary

toolssummary_edge_cases: Edge Cases and Robustness Testing Dataset

toolssummary_laboratory_results: Laboratory Results with Longitudinal Structure

toolssummary_mixed_datatypes: Mixed Data Types with Complex Categorical Variables

toolssummary_small_sample: Small Sample Size Testing Dataset

toolssummary_test_scenarios: Enhanced Tools for Data Summary Test Scenarios Documentation

toolssummary_timeseries_data: Time Series Data for Longitudinal Analysis

toxicityprofile(): Treatment Toxicity Profile

toxicityprofileClass: Treatment Toxicity Profile

toxicityprofile_oncology_trial toxicityprofile_immunotherapy toxicityprofile_targeted_therapy toxicityprofile_dose_escalation toxicityprofile_pediatric toxicityprofile_small_sample: Enhanced Treatment Toxicity Profile Test Datasets

toxicityprofile_datasets_summary: Treatment Toxicity Profile Dataset Collection Summary

toxicityprofile_dose_escalation: Dose Escalation Study Safety Dataset

toxicityprofile_immunotherapy: Immunotherapy Safety Profile Dataset

toxicityprofile_oncology_trial: Oncology Clinical Trial Safety Dataset

toxicityprofile_pediatric: Pediatric Safety Study Dataset

toxicityprofile_small_sample: Small Sample Edge Cases Dataset

toxicityprofile_targeted_therapy: Targeted Therapy Safety Profile Dataset

toxicityprofile_test_scenarios: Treatment Toxicity Profile Test Scenarios Documentation

transformationmodels(): Transformation Models

transformationmodelsClass: Transformation Models

treatmentSwitchingClass: Treatment Switching Analysis

treatmenteffects(): Causal Inference & Treatment Effects Analysis

treatmenteffectsClass: Treatment Effects Analysis Class

treatmentmeta(): Treatment Effect Meta-Analysis

treatmentoptim(): Treatment Optimization Framework

treatmentswitching(): Treatment Switching Analysis

treeProgressBar(): Create HTML Progress Bar for Tree Analysis

cancer_biomarkers cardiovascular_risk pathology_diagnosis drug_response pediatric_growth small_sample_tree: Enhanced Medical Decision Tree Test Datasets

tree_datasets_summary: Tree Datasets Summary

tree_test_scenarios: Tree Test Scenarios Documentation

treeadvanced(): Advanced Clinical Decision Trees

treeadvancedClass: Advanced Clinical Decision Trees

treecompare(): Clinical Tree Algorithm Comparison

treecompareClass: Clinical Tree Algorithm Comparison

treeensemble(): Clinical Random Forest Analysis

treeensembleClass: Clinical Random Forest Analysis

treemedical(): Medical Decision Trees

treemedicalClass: Medical Decision Trees

trichotomousroc(): Trichotomous (Three-way) ROC Analysis

tumorgrowth(): Tumor Growth Models

tumorgrowthClass: Tumor Growth Models

validateDecisionAnalysisInputs(): Validate Decision Analysis Inputs

validateIHCClustering(): Validate IHC Clustering Parameters

validateIHCData(): Validate IHC Data Requirements

validateROCInputs(): Validate inputs for ROC analysis

validate_clinical_data(): Validate Data with Clinical Context

variablebiplot(): Variable Importance Biplot

variablebiplotClass: Variable Importance Biplot

vartree(): Variable Tree

vartreeClass: Variable Tree

venn(): Venn Diagram

vennClass: Venn Diagram Class

vusanalysis(): Volume Under ROC Surface (VUS) Analysis

waterfall(): Treatment Response Analysis

waterfallClass: Treatment Response Analysis (Waterfall) Class

waterfall_test waterfall_spider_test waterfall_raw_test waterfall_small waterfall_large waterfall_missing waterfall_extreme waterfall_no_baseline waterfall_phase2: Test Datasets for Waterfall Function

waterfallrecist(): RECIST v1.1 Compliant Response Analysis

weightedlogrank(): Weighted Log-Rank Tests