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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.packages('hce')

Monthly Downloads

725

Version

0.8.8

License

MIT + file LICENSE

Maintainer

Samvel B. Gasparyan

Last Published

December 5th, 2025

Functions in hce (0.8.8)

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

Coerce a data frame to an hce object

calcWINS.data.frame

Win statistics calculation using a data frame

A generic function for coercing data structures to hce objects

Calculates patient-level individual win proportions

A generic function for calculating win odds

A generic function for calculating win statistics

as_hce.data.frame

Coerce a data frame to an hce object

calcWINS.formula

Win statistics calculation using formula syntax

Kidney Hierarchical Composite Endpoint dataset.

Win statistics calculation for hce objects

A plot method for hce objects

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

calcWO.data.frame

Win odds calculation using a data frame

Win odds calculation using formula syntax

Win odds calculation for hce objects

Helper function for hce objects

plot.hce_results

A print method for hce_results objects

Power calculation for the win odds test (no ties)

Simulate a kidney disease hce dataset

print.hce_results

A print method for hce_results objects

regWO.data.frame

Win Odds Regression Using a Data Frame

A generic function for win odds regression

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

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

A generic function for stratified win odds with adjustment

Win Odds Regression Using a Formula Syntax

Simulate an hce object

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

summaryWO.formula

Win odds summary using formula syntax

Win odds summary for hce objects

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

summaryWO.adhce

Win odds summary for adhce objects

summaryWO.data.frame

Win odds summary for a data frame

A generic function for summarizing win odds

stratWO.data.frame

Stratified win odds with adjustment

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

Event-Time dataset for kidney outcomes.

Laboratory dataset for Glomerular Filtration Rate (GFR) measurements.

COVID-19 ordinal scale dataset for a combination therapy.

COVID-19 ordinal scale dataset (preliminary report).

Baseline characteristics dataset of patients with kidney function assessments.

COVID-19 ordinal scale dataset (full report).

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

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