coxphw: Weighted Estimation in Cox Regression
Version 4.0.0

Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, ). Weighted Cox regression provides unbiased average hazard ratio estimates also in case of non-proportional hazards. Approximated generalized concordance probability an effect size measure for clear-cut decisions can be obtained. 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.

Browse man pages Browse package API and functions Browse package files

AuthorGeorg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [aut]
Date of publication2017-01-02 16:52:58
MaintainerGeorg Heinze <georg.heinze@meduniwien.ac.at>
LicenseGPL-2
Version4.0.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("coxphw")

Man pages

biofeedback: Biofeedback Treatment Data
coef.coxphw: Extract Model Coefficients for Objects of Class 'coxphw'
concord: Compute Generalized Concordance Probabilities for Objects of...
confint.coxphw: Confidence Intervals for Model Parameters
coxphw: Weighted Estimation in Cox Regression
coxphw.control: Ancillary arguments for controling coxphw fits
coxphw-package: Weighted Estimation in Cox Regression
fp.power: Provides Fractional Polynomials as Accessible Function
gastric: Gastric Cancer Data
plot.coxphw: Plot Weights of Weighted Estimation in Cox Regression
plot.coxphw.predict: Plot the Relative or Log Relative Hazard Versus Values of a...
predict.coxphw: Predictions for a weigthed Cox model
print.coxphw: Print Method for Objects of Class 'coxphw'
print.coxphw.predict: Print Method for Objects of Class 'predict.coxphw'
PT: Pretransformation function
summary.coxphw: Summary Method for Objects of Class 'coxphw'
vcov.coxphw: Obtain the Variance-Covariance Matrix for a Fitted Model...
wald: Wald-Test for Model Coefficients

Functions

PT Man page Source code
RI Source code
Rlog Source code
Rpow2 Source code
Rpow3 Source code
RpowM0.5 Source code
RpowM1 Source code
RpowM2 Source code
Rsqrt Source code
biofeedback Man page
coef.coxphw Man page Source code
coefficients.coxphw Man page Man page
concord Man page Source code
confint.coxphw Man page Source code
coxphw Man page Source code
coxphw-package Man page
coxphw.control Man page Source code
coxphw.fit Man page Source code
coxphw.wei Source code
fp.power Man page Source code
fp.scale Source code
fp.scale.coefs Source code
gastric Man page
plot.coxphw Man page Source code
plot.coxphw.predict Man page Source code
pow2 Source code
pow3 Source code
powM0.5 Source code
powM1 Source code
powM2 Source code
predict.coxphw Man page Source code
print.coxphw Man page Source code
print.coxphw.predict Man page Source code
qeq Source code
summary.coxphw Man page Source code
vcov.coxphw Man page Source code
wald Man page Source code

Files

inst
inst/CITATION
inst/NEWS.Rd
inst/doc
inst/doc/JSS_2015_example_code.html
inst/doc/JSS_2015_example_code.Rmd
inst/doc/JSS_2015_example_code.R
src
src/coxphw.f90
NAMESPACE
data
data/biofeedback.txt.gz
data/gastric.txt.gz
R
R/fp.scale.coefs.r
R/plot.coxphw.predict.r
R/vcov.coxphw.r
R/print.r
R/wald.r
R/predict.coxphw.r
R/coef.coxphw.r
R/concord.r
R/summary.r
R/coxphw.fit.r
R/fp.scale.r
R/fpfunctions.r
R/decomposeSurv.r
R/confint.coxphw.r
R/coxphw.wei.r
R/coxphw.r
R/plot.coxphw.r
R/print.coxphw.predict.r
R/coxphw.control.r
vignettes
vignettes/JSS_2015_example_code.Rmd
README.md
MD5
build
build/vignette.rds
build/partial.rdb
DESCRIPTION
man
man/print.coxphw.predict.Rd
man/plot.coxphw.predict.Rd
man/gastric.Rd
man/vcov.coxphw.Rd
man/biofeedback.Rd
man/coxphw.control.Rd
man/fp.power.Rd
man/confint.coxphw.Rd
man/concord.Rd
man/PT.Rd
man/summary.coxphw.Rd
man/wald.Rd
man/coef.coxphw.Rd
man/coxphw.Rd
man/print.coxphw.Rd
man/plot.coxphw.Rd
man/coxphw-package.Rd
man/predict.coxphw.Rd
coxphw documentation built on May 19, 2017, 11:32 p.m.