Package: aftsem 1.0
Martin Benedikt
aftsem: Semiparametric Accelerated Failure Time Model
Implements several basic algorithms for estimating regression parameters for semiparametric accelerated failure time (AFT) model. The main methods are: Jin rank-based method (Jin (2003) <doi:10.1093/biomet/90.2.341>), Heller’s estimating method (Heller (2012) <doi:10.1198/016214506000001257>), Polynomial smoothed Gehan function method (Chung (2013) <doi:10.1007/s11222-012-9333-9>), Buckley-James method (Buckley (1979) <doi:10.2307/2335161>) and Jin`s improved least squares method (Jin (2006) <doi:10.1093/biomet/93.1.147>). This package can be used for modeling right-censored data and for comparing different estimation algorithms.
Authors:
aftsem_1.0.tar.gz
aftsem_1.0.tar.gz(r-4.5-noble)aftsem_1.0.tar.gz(r-4.4-noble)
aftsem_1.0.tgz(r-4.4-emscripten)aftsem_1.0.tgz(r-4.3-emscripten)
aftsem.pdf |aftsem.html✨
aftsem/json (API)
| # Install 'aftsem' in R: |
| install.packages('aftsem', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/benedma2/aftsem-package/issues
Last updated 1 months agofrom:1c83426a72. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 16 2024 |
| R-4.5-linux-x86_64 | OK | Oct 16 2024 |
Exports:aftsem
Dependencies:latticeMASSMatrixMatrixModelsnloptrnumDerivoptimxpracmaquantregRcppRcppArmadilloSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Semiparametric Accelerated Failure Time Model | aftsem-package |
| Accelerated Failure Time Semiparametric Model | aftsem |
| Semi-parametric AFT Model Fitting | aftsem_fit |
| Control list for package | aftsem.control |
| Gehan's Estimation for Survival Data | gehan_estimation |
| Gehan-Heller Estimation of regression parameters | gehan_heller_estimation |
| Estimation of Regression Parameters from Smoothed Gehan Function | gehan_poly_estimation |
| Print method for aftsem xs | print.aftsem |
| Print method for objects of class `summaryaftsem` | print.summaryaftsem |
| Summary function for aftsem package | summary.aftsem |
