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The R package coxphw implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, \doi{10.1002/sim.3623}) and as described in Dunkler, Ploner, Schemper and Heinze (Journal of Statistical Software, 2018, \doi{10.18637/jss.v084.i02}). The package provides options to estimate time-dependent effects conveniently by including interactions of covariates with arbitrary functions of time, with or without making use of the weighting option.

This package is licensed under GPL-2, and available on CRAN: https://cran.r-project.org/package=coxphw.

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Version

Install

install.packages('coxphw')

Monthly Downloads

452

Version

4.0.1

License

GPL-2

Maintainer

Georg Heinze

Last Published

April 17th, 2018

Functions in coxphw (4.0.1)

coef.coxphw

Extract Model Coefficients for Objects of Class coxphw
PT

Pretransformation function
biofeedback

Biofeedback Treatment Data
predict.coxphw

Predictions for a weigthed Cox model
print.coxphw

Print Method for Objects of Class coxphw
fp.power

Provides Fractional Polynomials as Accessible Function
gastric

Gastric Cancer Data
confint.coxphw

Confidence Intervals for Model Parameters
coxphw-package

Weighted Estimation in Cox Regression
plot.coxphw

Plot Weights of Weighted Estimation in Cox Regression
plot.coxphw.predict

Plot the Relative or Log Relative Hazard Versus Values of a Continuous Covariable.
coxphw.control

Ancillary arguments for controling coxphw fits
coxphw

Weighted Estimation in Cox Regression
vcov.coxphw

Obtain the Variance-Covariance Matrix for a Fitted Model Object of Class coxphw
wald

Wald-Test for Model Coefficients
concord

Compute Generalized Concordance Probabilities for Objects of Class coxphw or coxph
print.coxphw.predict

Print Method for Objects of Class predict.coxphw
summary.coxphw

Summary Method for Objects of Class coxphw