Package: frailtyEM 1.0.1

frailtyEM: Fitting Frailty Models with the EM Algorithm

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.

Authors:Theodor Adrian Balan, Hein Putter

frailtyEM_1.0.1.tar.gz
frailtyEM_1.0.1.zip(r-4.7-x86_64)frailtyEM_1.0.1.zip(r-4.7-arm64)frailtyEM_1.0.1.zip(r-4.6-x86_64)frailtyEM_1.0.1.zip(r-4.6-arm64)frailtyEM_1.0.1.zip(r-4.5-x86_64)
frailtyEM_1.0.1.tgz(r-4.6-x86_64)frailtyEM_1.0.1.tgz(r-4.6-arm64)frailtyEM_1.0.1.tgz(r-4.5-x86_64)frailtyEM_1.0.1.tgz(r-4.5-arm64)
frailtyEM_1.0.1.tar.gz(r-4.7-arm64)frailtyEM_1.0.1.tar.gz(r-4.7-x86_64)frailtyEM_1.0.1.tar.gz(r-4.6-arm64)frailtyEM_1.0.1.tar.gz(r-4.6-x86_64)
frailtyEM_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
frailtyEM/json (API)

# Install 'frailtyEM' in R:

install.packages('frailtyEM', repos = c('https://tbalan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tbalan/frailtyem/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

frailty heterogeneity survival cpp

5.56 score 6 stars 1 packages 40 scripts 964 downloads 1 mentions 6 exports 32 dependencies

Last updated from:7c5218b64e. Checks:13 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	141
linux-devel-x86_64	NOTE	211
source / vignettes	OK	196
linux-release-arm64	NOTE	138
linux-release-x86_64	NOTE	180
macos-release-arm64	NOTE	140
macos-release-x86_64	NOTE	395
macos-oldrel-arm64	NOTE	140
macos-oldrel-x86_64	NOTE	413
windows-devel-arm64	NOTE	370
windows-devel-x86_64	NOTE	162
windows-release-arm64	NOTE	390
windows-release-x86_64	NOTE	143
windows-oldrel-x86_64	NOTE	137
wasm-release	OK	110

Exports:autoplot ca_test emfrail emfrail_control emfrail_dist emfrail_pll

Dependencies:cli cpp11 expint expm farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr Matrix msm mvtnorm numDeriv pillar pkgconfig R6 RColorBrewer Rcpp rlang S7 scales survival tibble utf8 vctrs viridisLite withr

Using frailtyEM for shared frailty models

Introduction | Model | Estimation and implementation | Illustration | Conclusion

Rendered fromfrailtyEM_manual.Rnwusingutils::Sweave

Last update: 2018-04-23
Started: 2017-03-22

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generic autoplot function	autoplot
Plots for emfrail objects using 'ggplot2'	autoplot.emfrail
Commenges-Andersen test for heterogeneity	ca_test
Fitting semi-parametric shared frailty models with the EM algorithm	emfrail
Control parameters for emfrail	emfrail_control
Distribution parameters for emfrail	emfrail_dist
Profile log-likelihood calculation	emfrail_pll
Log-likelihood for 'emfrail' fitted models	logLik.emfrail
Plots for emfrail objects	plot.emfrail
Predicted hazard and survival curves from an 'emfrail' object	predict.emfrail
Residuals for frailty models	residuals.emfrail
Summary for 'emfrail' objects	summary.emfrail