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aftsem

Semiparametric Accelerated Failure Time Model

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.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 aftsem_1.0.tar.gz 170.7 KiB
1.0 rolling linux/noble R-4.5 aftsem_1.0.tar.gz 179.9 KiB
1.0 rolling source/ R- aftsem_1.0.tar.gz 25.2 KiB
1.0 latest linux/jammy R-4.5 aftsem_1.0.tar.gz 170.7 KiB
1.0 latest linux/noble R-4.5 aftsem_1.0.tar.gz 179.9 KiB
1.0 latest source/ R- aftsem_1.0.tar.gz 25.2 KiB
1.0 2026-04-26 source/ R- aftsem_1.0.tar.gz 25.2 KiB
1.0 2026-04-23 source/ R- aftsem_1.0.tar.gz 25.2 KiB
1.0 2026-04-09 windows/windows R-4.5 aftsem_1.0.zip 585.1 KiB
1.0 2025-04-20 source/ R- aftsem_1.0.tar.gz 25.2 KiB

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