Timereg for Event Times (timereg)

Additive survival model, semiparametric proportional odds model, cumulative residuals, excess risk models and more.

Flexible competing risks regression including GOF-tests.

Two-stage frailty modelling. PLS for the additive risk model.

Additive hazard Lasso in the ‘ahaz’ package for high-dimensional data.

mets package has a collection of tools for multivariate data.

Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data’, Springer Verlag.

Installation

install.packages("timereg",dependencies=TRUE)

The development version may be installed directly from github (requires Rtools on windows and development tools (+Xcode) for Mac OS X):

devtools::install_github("scheike/timereg")

or download the source

git@github.com:scheike/timereg.git

Citation

To cite the timereg package please use one of the following references

Thomas H. Scheike, Torben Martinussen (2006), Dynamic Regression models for survival data. Springer, New-York

“Thomas H. Scheike, Mei-Jie Zhang (2011).” “Analyzing Competing Risk Data Using the R timereg Package.” “Journal of Statistical Software, 38(2), 1-15.” “URL http://www.jstatsoft.org/v38/i02/.”

BibTeX:

@Book{ms06,
  title         = {Dynamic Regression Models for Survival Data},
  publisher     = {Springer-Verlag New York},
  year          = {2006},
  author        = {T. Martinussen and T.H. Scheike},
}


@Article{ts-mz-jss-2010,
  author        = {Scheike, T. H. and Mei-Jie Zhang},
  title         = {Modelling competing risks data using the {R}-timereg package},
  journal       = {Journal of Statistical Software},
  year          = {2011},
  volume        = {38},
  pages         = {1-15},
}

Examples

library(timereg)

example(aalen)
example(cox.aalen)
example(comp.risk)
example(two.stage)
example(restricted.residual.mean)