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-4.5-noble)mexhaz_2.6.tar.gz(r-4.4-noble)
mexhaz_2.6.tgz(r-4.4-emscripten)mexhaz_2.6.tgz(r-4.3-emscripten)
mexhaz.pdf |mexhaz.html
mexhaz/json (API)
NEWS

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

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

2.51 score 1 packages 27 scripts 399 downloads 2 mentions 7 exports 9 dependencies

Last updated 6 months agofrom:28def36525. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-linux-x86_64OKNov 26 2024

Exports:adjsurvfixeffixef.mexhazmexhazranefranef.mexhazriskfunc

Dependencies:lamWlatticeMASSMatrixnumDerivRcppRcppParallelstatmodsurvival