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
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frailtyEM_1.0.1.tgz(r-4.5-x86_64)frailtyEM_1.0.1.tgz(r-4.5-arm64)frailtyEM_1.0.1.tgz(r-4.4-x86_64)frailtyEM_1.0.1.tgz(r-4.4-arm64)frailtyEM_1.0.1.tgz(r-4.3-x86_64)frailtyEM_1.0.1.tgz(r-4.3-arm64)
frailtyEM_1.0.1.tar.gz(r-4.5-noble)frailtyEM_1.0.1.tar.gz(r-4.4-noble)
frailtyEM_1.0.1.tgz(r-4.4-emscripten)frailtyEM_1.0.1.tgz(r-4.3-emscripten)
frailtyEM.pdf |frailtyEM.html✨
frailtyEM/json (API)
NEWS

# 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

4.69 score 3 stars 33 scripts 677 downloads 1 mentions 6 exports 36 dependencies

Last updated 6 years agofrom:7c5218b64e. Checks:4 OK, 8 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 29 2025
R-4.5-win-x86_64	NOTE	Mar 29 2025
R-4.5-mac-x86_64	NOTE	Mar 29 2025
R-4.5-mac-aarch64	NOTE	Mar 29 2025
R-4.5-linux-x86_64	NOTE	Mar 29 2025
R-4.4-win-x86_64	NOTE	Mar 29 2025
R-4.4-mac-x86_64	NOTE	Mar 29 2025
R-4.4-mac-aarch64	NOTE	Mar 29 2025
R-4.4-linux-x86_64	NOTE	Mar 29 2025
R-4.3-win-x86_64	OK	Mar 29 2025
R-4.3-mac-x86_64	OK	Mar 29 2025
R-4.3-mac-aarch64	OK	Mar 29 2025

Exports:autoplot ca_test emfrail emfrail_control emfrail_dist emfrail_pll

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

Using frailtyEM for shared frailty models

Rendered fromfrailtyEM_manual.Rnwusingutils::Sweaveon Mar 29 2025.

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