The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Contains functions for fitting shared frailty models with a semi-parametric baseline hazard with the Expectation-Maximization algorithm. Supported data formats include clustered failures with left truncation and recurrent events in gap-time or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable and the Power Variance Family are supported.
Version: | 1.0.1 |
Depends: | R (≥ 3.3.0), survival |
Imports: | Rcpp (≥ 0.12.8), magrittr, msm, ggplot2, expint, tibble, Matrix, numDeriv |
LinkingTo: | Rcpp |
Suggests: | dplyr, plotly, gridExtra, egg |
Published: | 2019-09-22 |
DOI: | 10.32614/CRAN.package.frailtyEM |
Author: | Theodor Adrian Balan, Hein Putter |
Maintainer: | Theodor Adrian Balan <hello at tbalan.com> |
BugReports: | https://github.com/tbalan/frailtyEM/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/tbalan/frailtyEM |
NeedsCompilation: | yes |
Citation: | frailtyEM citation info |
Materials: | NEWS |
In views: | Survival |
CRAN checks: | frailtyEM results |
Reference manual: | frailtyEM.pdf |
Vignettes: |
Using frailtyEM for shared frailty models |
Package source: | frailtyEM_1.0.1.tar.gz |
Windows binaries: | r-devel: frailtyEM_1.0.1.zip, r-release: frailtyEM_1.0.1.zip, r-oldrel: frailtyEM_1.0.1.zip |
macOS binaries: | r-release (arm64): frailtyEM_1.0.1.tgz, r-oldrel (arm64): frailtyEM_1.0.1.tgz, r-release (x86_64): frailtyEM_1.0.1.tgz, r-oldrel (x86_64): frailtyEM_1.0.1.tgz |
Old sources: | frailtyEM archive |
Reverse suggests: | rsurv |
Please use the canonical form https://CRAN.R-project.org/package=frailtyEM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.