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All functions

agreement()
Interrater Reliability
agreementClass
Interrater Reliability Analysis
auc_ci()
Statistical Utility Functions
bootstrapIDI()
Bootstrap IDI calculation with confidence intervals
bootstrapNRI()
Bootstrap NRI calculation with confidence intervals
bootstrap_ci()
Bootstrap confidence intervals for diagnostic metrics
calculate_auc()
Calculate AUC from sensitivity and specificity
calculate_sensitivity()
Calculate diagnostic sensitivity
calculate_specificity()
Calculate diagnostic specificity
computeNRI()
Compute Net Reclassification Index (NRI)
decision()
Medical Decision
decisionClass
Medical Decision Analysis
decisioncalculator()
Medical Decision Calculator
decisioncalculatorClass
Decision Calculator
histopathology
histopathology
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
meddecide-package meddecide
Functions for Medical Decision Making in ClinicoPath jamovi Module
nogoldstandard()
Analysis Without Gold Standard
nogoldstandardClass
Analysis Without Gold Standard
nomogrammer()
Fagan Nomogram Function
print(<sensSpecTable>)
Print formatted HTML table for sensitivity/specificity results
psychopdaroc()
ROC Analysis
psychopdarocClass
ROC Analysis
raw_to_prob()
Convert raw test values to predicted probabilities using ROC curve
validateROCInputs()
Validate inputs for ROC analysis