Package: aftsem
Type: Package
Title: Semiparametric Accelerated Failure Time Model
Version: 1.0
Date: 2024-09-01
Maintainer: Martin Benedikt <benedma2@cvut.cz>
Description: 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.
License: GPL (>= 3)
BugReports: https://github.com/benedma2/aftsem-package/issues
Imports: survival, Rcpp (>= 1.0.10), stats, quantreg, optimx
URL: https://github.com/benedma2/aftsem-package
Authors@R: person(given = "Martin", family = "Benedikt",role = c("aut", "cre"),email = "benedma2@cvut.cz")
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.1
Depends: R (>= 4.2.0)
Encoding: UTF-8
Config/pak/sysreqs: cmake
Repository: https://benedma2.r-universe.dev
Date/Publication: 2024-09-17 14:00:30 UTC
RemoteUrl: https://github.com/benedma2/aftsem-package
RemoteRef: HEAD
RemoteSha: f03ae9bbbbff6ddc70333330b4bb5a3ebdaf7496
NeedsCompilation: yes
Packaged: 2026-10-11 09:36:29 UTC; root
Author: Martin Benedikt [aut, cre]