Package: censCov 1.0-0
Sy Han (Steven) Chiou
censCov: Linear Regression with a Randomly Censored Covariate
Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.
Authors:
censCov_1.0-0.tar.gz
censCov_1.0-0.tar.gz(r-4.5-noble)censCov_1.0-0.tar.gz(r-4.4-noble)
censCov_1.0-0.tgz(r-4.4-emscripten)censCov_1.0-0.tgz(r-4.3-emscripten)
censCov.pdf |censCov.html✨
censCov/json (API)
| # Install 'censCov' in R: |
| install.packages('censCov', 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 8 years agofrom:c470bb7506. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux | OK | Nov 28 2024 |
Exports:thlm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Threshold regression with a censored covariate | thlm |