Package: mexhaz 2.6

Hadrien Charvat

mexhaz: Mixed Effect Excess Hazard Models

Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty). A detailed description of the package functionalities is provided in Charvat and Belot (2021) <doi:10.18637/jss.v098.i14>.

Authors:Hadrien Charvat, Aurelien Belot, Juste Goungounga

mexhaz_2.6.tar.gz
mexhaz_2.6.tar.gz(r-4.7-arm64)mexhaz_2.6.tar.gz(r-4.7-x86_64)mexhaz_2.6.tar.gz(r-4.6-arm64)mexhaz_2.6.tar.gz(r-4.6-x86_64)
mexhaz_2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mexhaz/json (API)

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

On CRAN:

Conda:

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

2.23 score 1 packages 28 scripts 387 downloads 2 mentions 7 exports 9 dependencies

Last updated from:28def36525. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK158
linux-devel-x86_64OK141
source / vignettesOK196
linux-release-arm64OK152
linux-release-x86_64OK144
wasm-releaseOK367

Exports:adjsurvfixeffixef.mexhazmexhazranefranef.mexhazriskfunc

Dependencies:lamWlatticeMASSMatrixnumDerivRcppRcppParallelstatmodsurvival