Package: frailtySurv 1.3.8

frailtySurv: General Semiparametric Shared Frailty Model

Simulates and fits semiparametric shared frailty models under a wide range of frailty distributions using a consistent and asymptotically-normal estimator. Currently supports: gamma, power variance function, log-normal, and inverse Gaussian frailty models.

Authors:Vinnie Monaco [aut, cre], Malka Gorfine [aut], Li Hsu [aut]

frailtySurv_1.3.8.tar.gz
frailtySurv_1.3.8.zip(r-4.7-x86_64)frailtySurv_1.3.8.zip(r-4.6-x86_64)frailtySurv_1.3.8.zip(r-4.5-x86_64)
frailtySurv_1.3.8.tgz(r-4.6-x86_64)frailtySurv_1.3.8.tgz(r-4.6-arm64)frailtySurv_1.3.8.tgz(r-4.5-x86_64)frailtySurv_1.3.8.tgz(r-4.5-arm64)
frailtySurv_1.3.8.tar.gz(r-4.7-arm64)frailtySurv_1.3.8.tar.gz(r-4.7-x86_64)frailtySurv_1.3.8.tar.gz(r-4.6-arm64)frailtySurv_1.3.8.tar.gz(r-4.6-x86_64)
frailtySurv_1.3.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
frailtySurv/json (API)

# Install 'frailtySurv' in R:
install.packages('frailtySurv', repos = c('https://vmonaco.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vmonaco/frailtysurv/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • drs - Diabetic Retinopathy Study
  • hdfail - Hard drive failure dataset

On CRAN:

Conda:

survival-analysiscpp

4.10 score 12 stars 21 scripts 417 downloads 6 exports 28 dependencies

Last updated from:fa3c6e17b3. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK162
linux-devel-x86_64OK154
source / vignettesOK184
linux-release-arm64OK214
linux-release-x86_64OK144
macos-release-arm64OK172
macos-release-x86_64OK457
macos-oldrel-arm64OK227
macos-oldrel-x86_64OK629
windows-develOK133
windows-releaseOK152
windows-oldrelOK142
wasm-releaseOK113

Exports:fitfrailfitfrail.controlgenfrailgenfrail.controlsimcoxphsimfrail

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMatrixnleqslvnumDerivplyrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrsurvivalvctrsviridisLitewithr