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hce

Simulate and analyze hierarchical composite endpoints

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You can install hce from CRAN:

install.packages("hce")

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Install

install.packages('hce')

Monthly Downloads

296

Version

0.9.0

License

MIT + file LICENSE

Maintainer

Samvel B. Gasparyan

Last Published

January 29th, 2026

Functions in hce (0.9.0)

Win odds calculation based on a threshold for adhce objects

calcWINS.data.frame

Win statistics calculation using a data frame

Win statistics calculation for hce objects

as_hce.data.frame

Coerce a data frame to an hce object

calcWO.data.frame

Win odds calculation using a data frame

Win odds calculation using formula syntax

plot.hce_results

A print method for hce_results objects

Helper function for hce objects

Power calculation for the win odds test (no ties)

A plot method for hce objects

Minimum detectable or WO for alternative hypothesis for given power (no ties)

A generic function for calculating win odds based on a threshold

Win odds calculation for hce objects

print.hce_results

A print method for hce_results objects

Win Odds Regression Using a Formula Syntax

Sample size calculation for the win odds test (no ties)

A generic function for win odds regression

Simulate a kidney disease hce dataset

Simulate an adhce dataset with two correlated outcomes (illness - death model)

Simulate an hce object

regWO.data.frame

Win Odds Regression Using a Data Frame

Simulate ordinal variables for two treatment groups using categorization of beta distributions

Proportion of wins/losses/ties given the win odds and the win ratio

A generic function for summarizing win odds

stratWO.data.frame

Stratified win odds with adjustment

summaryWO.data.frame

Win odds summary for a data frame

summaryWO.adhce

Win odds summary for adhce objects

Sample size calculation for the win ratio test (with WR = 1 null hypothesis)

summaryWO.formula

Win odds summary using formula syntax

A generic function for stratified win odds with adjustment

Win odds summary for hce objects

Baseline characteristics dataset of patients with kidney function assessments.

Coerce a data frame to an hce object

calcWINS.formula

Win statistics calculation using formula syntax

A generic function for calculating win statistics

Calculates patient-level individual win proportions

A generic function for calculating win odds

A generic function for coercing data structures to hce objects

Laboratory dataset for Glomerular Filtration Rate (GFR) measurements.

HCE1, HCE2, HCE3, HCE4 datasets for 1000 patients with different treatment effects.

HCE1, HCE2, HCE3, HCE4 datasets for 1000 patients with different treatment effects.

COVID-19 ordinal scale dataset (full report).

HCE1, HCE2, HCE3, HCE4 datasets for 1000 patients with different treatment effects.

COVID-19 ordinal scale dataset (preliminary report).

COVID-19 ordinal scale dataset for a combination therapy.

Event-Time dataset for kidney outcomes.

Kidney Hierarchical Composite Endpoint dataset.

HCE1, HCE2, HCE3, HCE4 datasets for 1000 patients with different treatment effects.