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>), Hellerâs 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 Documentation: Reference manual: aftsem.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=aftsem to link to this page.
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