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.
Version: | 1.0 |
Depends: | R (≥ 4.2.0) |
Imports: | survival, Rcpp (≥ 1.0.10), stats, quantreg, optimx |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2024-09-15 |
DOI: | 10.32614/CRAN.package.aftsem |
Author: | Martin Benedikt [aut, cre] |
Maintainer: | Martin Benedikt <benedma2 at cvut.cz> |
BugReports: | https://github.com/benedma2/aftsem-package/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/benedma2/aftsem-package |
NeedsCompilation: | yes |
CRAN checks: | aftsem results |
Reference manual: | aftsem.pdf |
Package source: | aftsem_1.0.tar.gz |
Windows binaries: | r-devel: aftsem_1.0.zip, r-release: aftsem_1.0.zip, r-oldrel: aftsem_1.0.zip |
macOS binaries: | r-release (arm64): aftsem_1.0.tgz, r-oldrel (arm64): aftsem_1.0.tgz, r-release (x86_64): aftsem_1.0.tgz, r-oldrel (x86_64): aftsem_1.0.tgz |
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