Package: transmdl 0.1.0
Fengyu Wen
transmdl: Semiparametric Transformation Models
To make the semiparametric transformation models easier to apply in real studies, we introduce this R package, in which the MLE in transformation models via an EM algorithm proposed by Zeng D, Lin DY(2007) <doi:10.1111/j.1369-7412.2007.00606.x> and adaptive lasso method in transformation models proposed by Liu XX, Zeng D(2013) <doi:10.1093/biomet/ast029> are implemented. C++ functions are used to compute complex loops. The coefficient vector and cumulative baseline hazard function can be estimated, along with the corresponding standard errors and P values.
Authors:
transmdl_0.1.0.tar.gz
transmdl_0.1.0.tar.gz(r-4.5-noble)transmdl_0.1.0.tar.gz(r-4.4-noble)
transmdl_0.1.0.tgz(r-4.4-emscripten)transmdl_0.1.0.tgz(r-4.3-emscripten)
transmdl.pdf |transmdl.html✨
transmdl/json (API)
| # Install 'transmdl' in R: |
| install.packages('transmdl', 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 3 years agofrom:d79c881186. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux-x86_64 | OK | Oct 31 2024 |
