Package: bcfrailphdv 0.1.2

bcfrailphdv: Bivariate Correlated Frailty Models with Varied Variances

Fit and simulate bivariate correlated frailty models with proportional hazard structure. Frailty distributions, such as gamma and lognormal models are supported semiparametric procedures. Frailty variances of the two subjects can be varied or equal. Details on the models are available in book of Wienke (2011,ISBN:978-1-4200-7388-1). Bivariate gamma fit is obtained using the approach given in Kifle et al (2023) <doi:10.4310/22-SII738> with modifications. Lognormal fit is based on the approach by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>. Frailty distributions, such as gamma, inverse gaussian and power variance frailty models are supported for parametric approach.

Authors:Mesfin Haileyesus [aut, cre]

bcfrailphdv_0.1.2.tar.gz
bcfrailphdv_0.1.2.zip(r-4.7)bcfrailphdv_0.1.2.zip(r-4.6)bcfrailphdv_0.1.2.zip(r-4.5)
bcfrailphdv_0.1.2.tgz(r-4.6-any)bcfrailphdv_0.1.2.tgz(r-4.5-any)
bcfrailphdv_0.1.2.tar.gz(r-4.7-any)bcfrailphdv_0.1.2.tar.gz(r-4.6-any)
bcfrailphdv_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
bcfrailphdv/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 738 downloads 4 exports 4 dependencies

Last updated from:b5f52a8162. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK146
source / vignettesOK152
linux-release-x86_64OK144
macos-release-arm64OK101
macos-oldrel-arm64OK144
windows-develOK110
windows-releaseOK108
windows-oldrelOK101
wasm-releaseOK87

Exports:bcfraildvbcfraildv.controlbcfrailparsimbcfraildv

Dependencies:bcfrailphlatticeMatrixsurvival