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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:28def36525. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-linux-x86_64 | OK | Oct 27 2024 |
Exports:adjsurvfixeffixef.mexhazmexhazranefranef.mexhazriskfunc
Dependencies:lamWlatticeMASSMatrixnumDerivRcppRcppParallelstatmodsurvival
