Package index • ClinicoPathDescriptives

All functions

ClinicoPathDescriptives-package ClinicoPathDescriptives: ClinicoPathDescriptives: Analysis for Clinicopathological Research

agepyramid(): Age Pyramid

agepyramidClass: Age Pyramid

alluvial(): Alluvial Diagrams

alluvialClass: Alluvial Plot

benford(): Benford Analysis

benfordClass: Benford's Law Analysis

bootstrapIDI(): Bootstrap IDI calculation with confidence intervals

calculate_auc(): Approximate 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 test sensitivity

calculate_specificity(): Calculate test specificity

checkdata(): Single Variable Quality Check

chisqposttest(): Chi-Square Post-Hoc Tests

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

clinicopath_startup_message(): Package startup message

crosstable(): Cross Tables

dataquality(): Multi-Variable Visual Quality

dataqualityClass: Data Quality Assessment

.escapeVariableNames(): Cross Table for Clinicopathological Comparisons

is_in_range(): Check if value is within valid range

load_required_package(): Load required packages with error handling

outlierdetection(): Advanced Outlier Detection

outlierdetectionClass: Advanced Outlier Detection with easystats

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

prop_to_percent(): Convert proportion to percentage string

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

reportcat(): Summary of Categorical Variables

reportcatClass: Summary of Categorical Variables

safe_divide(): Safe division function

summarydata(): Summary of Continuous Variables

summarydataClass: Summary of Continuous Variables with Distribution Diagnostics

tableone(): Table One

tableoneClass: Table One

validateROCInputs(): Validate inputs for ROC analysis

vartree(): Variable Tree

vartreeClass: Variable Tree

venn(): Venn Diagram