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timereg

Star Watch Copy Code

Flexible Regression Models for Survival Data

View on CRAN: Click here

Download and install timereg package within the R console
Install from CRAN:

 install.packages("timereg")

Install from Github:

 library("remotes")

                        install_github("cran/timereg")

Install by package version:

 library("remotes")

                        install_version("timereg", "2.0.6")

Attach the package and use:

 library("timereg")

Maintained by
Thomas Scheike
[Scholar Profile | Author Map]

All associated links for this package

10.32614/CRAN.package.timereg . https://github.com/scheike/timereg . timereg citation info . timereg results . timereg.pdf . timereg_2.0.6.tar.gz . timereg_2.0.6.zip . timereg_2.0.6.zip . timereg_2.0.6.zip . timereg_2.0.6.tgz . timereg_2.0.6.tgz . timereg_2.0.6.tgz . timereg_2.0.6.tgz . timereg archive . https://CRAN.R-project.org/package=timereg .

First Published: 2008-08-08

Latest Update: 2023-01-17

Description:

Programs for Martinussen and Scheike (2006), ‘Dynamic Regression Models for Survival Data’, Springer Verlag.Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.

How to cite:

Thomas Scheike (2008). timereg: Flexible Regression Models for Survival Data. R package version 2.0.6, https://cran.r-project.org/web/packages/timereg. Accessed 06 May. 2025.

Previous versions and publish date:

1.1-0 (2008-08-08 14:32), 1.1-1 (2008-11-07 09:43), 1.1-2 (2008-11-11 12:39), 1.1-6 (2009-02-11 15:40), 1.1-7 (2009-03-30 20:25), 1.1-8 (2009-04-16 10:42), 1.2-0 (2009-06-08 18:48), 1.2-2 (2009-06-14 21:13), 1.2-5 (2009-07-31 20:17), 1.2-7 (2009-11-26 09:03), 1.2-9 (2010-01-27 14:40), 1.3-0 (2010-04-15 15:50), 1.3-3 (2010-06-11 13:04), 1.3-4 (2010-06-25 14:03), 1.3-5 (2010-08-04 09:57), 1.3-6 (2010-10-08 10:00), 1.4-2 (2010-12-29 12:38), 1.5-0 (2011-05-06 17:38), 1.5-5 (2011-11-08 12:40), 1.5-6 (2011-11-15 09:56), 1.6-0 (2011-11-21 09:06), 1.6-3 (2012-04-17 16:48), 1.6-5 (2012-05-07 13:05), 1.6-7 (2012-07-05 14:52), 1.6-8 (2012-08-23 10:33), 1.6-9 (2012-12-18 14:46), 1.7.0 (2013-01-16 21:41), 1.7.4 (2013-04-30 18:53), 1.7.5 (2013-05-02 08:14), 1.7.6 (2013-05-23 08:47), 1.7.7 (2013-06-13 13:43), 1.7.9 (2013-08-25 16:34), 1.8.0 (2013-08-26 18:39), 1.8.1 (2013-10-28 15:01), 1.8.2 (2013-11-21 18:15), 1.8.3 (2014-01-02 15:37), 1.8.4 (2014-02-18 16:06), 1.8.5 (2014-05-27 10:15), 1.8.6 (2014-11-18 13:27), 1.8.7 (2015-03-05 10:40), 1.8.8 (2015-05-28 00:53), 1.8.9 (2015-05-28 10:42), 1.9.0 (2016-10-06 13:17), 1.9.1 (2017-05-21 09:51), 1.9.2 (2018-01-30 15:20), 1.9.3 (2019-01-14 11:30), 1.9.4 (2019-07-30 12:50), 1.9.5 (2020-05-27 17:30), 1.9.6 (2020-07-16 09:40), 1.9.7 (2020-08-24 10:00), 1.9.8 (2020-10-05 11:50), 1.9.9 (2021-05-17 10:30), 2.0.0 (2021-05-20 17:20), 2.0.1 (2021-10-13 14:50), 2.0.2 (2022-04-11 11:30), 2.0.3 (2022-10-24 11:30), 2.0.4 (2022-11-09 09:40), 2.0.5 (2023-01-17 11:00)

Other packages that cited timereg R package

View timereg citation profile

Other R packages that timereg depends, imports, suggests or enhances

View timereg dependency map

Complete documentation for timereg

View documentation PDF

Functions, R codes and Examples using the timereg R package

Some associated functions: Event . Gprop.odds . TRACE . aalen . bmt . cd4 . comp.risk . const . cox.aalen . cox.ipw . cox . csl . cum.residuals . diabetes . dynreg . event.split . internal-addreg . krylow.pls . mela.pop . melanoma . mypbc . pava.pred . pe.sasieni . plot.aalen . plot.cum.residuals . plot.dynreg . predict.timereg . prep.comp.risk . print.aalen . prop.excess . prop . prop.odds . prop.odds.subdist . qcut . recurrent.marginal.coxmean . recurrent.marginal.mean . res.mean . restricted.residual.mean . summary.aalen . summary.cum.residuals . timecox . two.stage . wald.test .
Some associated R codes: timereg-copy-package.R . Full timereg package functions and examples

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