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.
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
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}, }
library(timereg)
example(aalen)
example(cox.aalen)
example(comp.risk)
example(two.stage)
example(restricted.residual.mean)