Package index • meddecide

All functions

agreement(): Interrater Reliability

agreementClass: Interrater Reliability Analysis

auc_ci(): Statistical Utility Functions

bayesdca_test_data: Bayesian DCA test dataset

bootstrapIDI(): Bootstrap IDI calculation with confidence intervals

bootstrapNRI(): Bootstrap NRI calculation with confidence intervals

bootstrap_ci(): Bootstrap confidence intervals for diagnostic metrics

breast_cancer_data: Breast cancer diagnostic dataset

breast_data: Breast pathology diagnostic styles dataset

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

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

calculate_auc(): Calculate AUC from sensitivity and specificity

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 diagnostic sensitivity

calculate_specificity(): Calculate diagnostic specificity

cancer_data: Cancer diagnostic dataset

cardiac_data: Cardiac diagnostic dataset

clear_error_log(): Clear Error Log

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

computeNRI(): Compute Net Reclassification Index (NRI)

cotest(): Co-Testing Analysis

cotestClass: Co-Testing Analysis

createSafeHTMLContent(): Create Error-Safe HTML Content

create_enhanced_result(): Enhanced Result Structure

decision(): Medical Decision

decisionClass: 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

.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

.clinicopath_errors: ClinicoPath Enhanced Error Handling Framework

.formatDiagnosticTable(): Format Diagnostic Metrics Table for Display

.interpretDOR(): Interpret Diagnostic Odds Ratio

.interpretLR(): Interpret Likelihood Ratio Values

.sensitivityCI(): Calculate Confidence Interval for Sensitivity

.specificityCI(): Calculate Confidence Interval for Specificity

enhancedROC(): Clinical ROC Analysis

enhancedROCClass: Enhanced ROC Analysis Class

generate_user_friendly_error(): Generate User-Friendly Error Message

generate_user_friendly_warning(): Generate User-Friendly Warning Message

get_clinical_context(): Clinical Context Wrapper

get_error_summary(): Get Error Summary

histopathology: Histopathology example dataset

is_in_range(): Check if value is within valid range

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 Approach for the Number of Subjects Required

load_required_package(): Load required packages with error handling

lymphoma_data: Lymphoma diagnostic styles dataset

master_data: Master dataset collection

meddecide-package meddecide: Functions for Medical Decision Making in ClinicoPath jamovi Module

nogoldstandard(): Analysis Without Gold Standard

nomogrammer(): Fagan Nomogram for Diagnostic Test Analysis

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

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

prop_to_percent(): Convert proportion to percentage string

psychopdaROC(): Advanced ROC Analysis

psychopdaROCClass: Comprehensive ROC Analysis with Advanced Features

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

safe_divide(): Safe division function

safe_execute(): Safe Execution Wrapper

sepsis_data: Sepsis diagnostic dataset

sequentialtests(): Sequential Testing Analysis

sequentialtestsClass: Sequential Testing Analysis

thyroid_data: Thyroid diagnostic dataset

thyroid_function_data: Thyroid function test dataset

validateDecisionAnalysisInputs(): Validate Decision Analysis Inputs

validateROCInputs(): Validate inputs for ROC analysis

validate_clinical_data(): Validate Data with Clinical Context