Semiparametric Accelerated Failure Time Model R package aftsem version 1.0 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. Software Depends: R (>= 4.2.0) Imports: survival, Rcpp (>= 1.0.10), stats, quantreg, optimx LinkingTo: Rcpp, RcppArmadillo Martin Benedikt <benedma2@cvut.cz> Comprehensive R Archive Network (CRAN) Martin Benedikt [aut, cre] GPL (>= 3) 2024-09-15 application/tgz https://CRAN.R-project.org/package=aftsem doi:10.32614/CRAN.package.aftsem