Learn R Programming

hce

Simulate and analyze hierarchical composite endpoints

Download

You can install hce from CRAN:

install.packages("hce")

Copy Link

Version

Install

install.packages('hce')

Monthly Downloads

393

Version

0.7.2

License

MIT + file LICENSE

Maintainer

Samvel B. Gasparyan

Last Published

May 14th, 2025

Functions in hce (0.7.2)

A generic function for calculating win odds

Win statistics calculation for hce objects

A generic function for calculating win statistics

calcWINS.data.frame

Win statistics calculation using a data frame

Kidney Hierarchical Composite Endpoint dataset.

Calculates patient-level individual win proportions

A generic function for coercing data structures to hce objects

print.hce_results

A print method for hce_results objects

Helper function for hce objects

Win odds calculation for hce objects

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

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

as_hce.data.frame

Coerce a data frame to an hce object

plot.hce_results

A print method for hce_results objects

Power calculation for the win odds test (no ties)

A plot method for hce objects

Win odds calculation using formula syntax

calcWO.data.frame

Win odds calculation using a data frame

Win Odds Regression Using a Formula Syntax

Simulate hce object with given event rates of time-to-event outcomes (Weibull), mean and SD of the continuous outcome (normal or log-normal) by treatment group

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

stratWO.data.frame

Stratified win odds with adjustment

A generic function for stratified win odds with adjustment

A generic function for summarizing win odds

summaryWO.data.frame

Win odds summary for a data frame

Simulate adhce object with given event rates of time-to-event outcomes (Weibull), mean and SD of the continuous outcome (normal or log-normal) by treatment group

A generic function for win odds regression

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

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

regWO.data.frame

Win Odds Regression Using a Data Frame

summaryWO.formula

Win odds summary using formula syntax

Win odds summary for hce objects

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

Baseline characteristics dataset of patients with kidney function assessments.

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

calcWINS.formula

Win statistics calculation using formula syntax

COVID-19 ordinal scale dataset for a combination therapy.

COVID-19 ordinal scale dataset (preliminary report).

COVID-19 ordinal scale dataset (full report).

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

Coerce a data frame to an hce object

Laboratory dataset for Glomerular Filtration Rate (GFR) measurements.

Event-Time dataset for kidney outcomes.

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