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wtcrsk (version 1.6)

Competing Risks Regression Models with Covariate-Adjusted Censoring Weights

Description

Estimation and regression modeling of subdistribution functions for competing risks data with adjustment for covariate-dependent censoring, as described in He et al. (2015).

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Version

Install

install.packages('wtcrsk')

Monthly Downloads

5

Version

1.6

License

GPL (>= 2)

Maintainer

Peng He

Last Published

December 6th, 2015

Functions in wtcrsk (1.6)

Crsk

Create a competing risks object.
plot.crrwt.pred

Plot function for a 'crrwt.pred' class object.
wtcrsk-package

Competing isks regression models with covariate-adjusted censoring weights
print.crrwt

Print function for a "crrwt" class object.
crr.wt.COX

Regression modeling of subdistribution function using the Cox weight.
summary.crrwt

Summary function for 'crrwt' class object
crr.wt

Competing risks regression using different weights.
crr.wt.KM

Regression modeling of subdistribution functions using Kaplan-Meier weight.
predict.crrwt

Compute predictive CIFs for given set of covariates.
crr.wt.KM.str

Regression modeling of subdistribution functions using the stratified Kaplan-Meier weight.
crr.wt.COX.str

Regression modeling of subdistribution functions using the stratified Cox weight.
Cens

Term to specify the censoring distribution.