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aftsem
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Install from CRAN:
install.packages("aftsem")
Install from Github:
library("remotes")
install_github("cran/aftsem")
Install by package version:
library("remotes")
install_version("aftsem", "1.0")
Attach the package and use:
library("aftsem")
Maintained by
Martin Benedikt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.aftsem . https://github.com/benedma2/aftsem-package/issues . https://github.com/benedma2/aftsem-package . aftsem results . aftsem.pdf . aftsem_1.0.tar.gz . aftsem_1.0.zip . aftsem_1.0.zip . aftsem_1.0.zip . aftsem_1.0.tgz . aftsem_1.0.tgz . aftsem_1.0.tgz . aftsem_1.0.tgz . aftsem_1.0.tgz . aftsem_1.0.tgz . https://CRAN.R-project.org/package=aftsem .
First Published: 2024-09-15
Latest Update: 2024-09-15
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.
How to cite:
Martin Benedikt (2024). aftsem: Semiparametric Accelerated Failure Time Model. R package version 1.0, https://cran.r-project.org/web/packages/aftsem. Accessed 18 Feb. 2025.
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