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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

296

Version

0.7.0

License

MIT + file LICENSE

Maintainer

Samvel B. Gasparyan

Last Published

March 5th, 2025

Functions in hce (0.7.0)

calcWINS.hce

Win statistics calculation for hce objects
calcWO

A generic function for calculating win odds
calcWINS.formula

Win statistics calculation using formula syntax
IWP

Calculates patient-level individual win proportions
KHCE

Kidney Hierarchical Composite Endpoint dataset.
minWO

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

A print method for hce_results objects
propWINS

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

A plot method for hce objects
calcWO.hce

Win odds calculation for hce objects
hce

Helper function for hce objects
simADHCE

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
calcWO.formula

Win odds calculation using formula syntax
calcWO.data.frame

Win odds calculation using a data frame
simHCE

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
summaryWO.formula

Win odds summary using formula syntax
plot.hce_results

A print method for hce_results objects
stratWO.data.frame

Stratified win odds with adjustment
powerWO

Power calculation for the win odds test (no ties)
summaryWO.data.frame

Win odds summary for a data frame
summaryWO

A generic function for summarizing win odds
regWO

A generic function for win odds regression
regWO.data.frame

Win odds regression using a data frame
sizeWO

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

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

Win odds summary for hce objects
sizeWR

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

A generic function for stratified win odds with adjustment
COVID19plus

COVID-19 ordinal scale dataset for a combination therapy.
as_hce

A generic function for coercing data structures to hce objects
as_hce.data.frame

Coerce a data frame to an hce object
as_hce.default

Coerce a data frame to an hce object
calcWINS.data.frame

Win statistics calculation using a data frame
HCE1

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

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

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

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

Baseline characteristics dataset of patients with kidney function assessments.
COVID19b

COVID-19 ordinal scale dataset (preliminary report).
ADET

Event-Time dataset for kidney outcomes.
COVID19

COVID-19 ordinal scale dataset (full report).
ADLB

Laboratory dataset for Glomerular Filtration Rate (GFR) measurements.
calcWINS

A generic function for calculating win statistics