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
NeedsCompilation: yes
Packaged: 2024-09-12 12:13:59 UTC; ivan
Author: Martin Benedikt [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-15 20:30:21 UTC
Built: R 4.4.1; aarch64-apple-darwin20; 2024-09-15 23:05:27 UTC; unix
Archs: aftsem.so.dSYM
