Package: aftsem 1.0

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.

Authors:Martin Benedikt [aut, cre]

aftsem_1.0.tar.gz
aftsem_1.0.zip(r-4.7)aftsem_1.0.zip(r-4.6)aftsem_1.0.zip(r-4.5)
aftsem_1.0.tgz(r-4.6-x86_64)aftsem_1.0.tgz(r-4.6-arm64)aftsem_1.0.tgz(r-4.5-x86_64)aftsem_1.0.tgz(r-4.5-arm64)
aftsem_1.0.tar.gz(r-4.7-arm64)aftsem_1.0.tar.gz(r-4.7-x86_64)aftsem_1.0.tar.gz(r-4.6-arm64)aftsem_1.0.tar.gz(r-4.6-x86_64)
aftsem_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
aftsem/json (API)

# Install 'aftsem' in R:

install.packages('aftsem', repos = c('https://benedma2.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/benedma2/aftsem-package/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

3.00 score 2 stars 3 scripts 218 downloads 1 exports 13 dependencies

Last updated from:f03ae9bbbb. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	158
linux-devel-x86_64	OK	164
source / vignettes	OK	233
linux-release-arm64	OK	174
linux-release-x86_64	OK	155
macos-release-arm64	OK	156
macos-release-x86_64	OK	379
macos-oldrel-arm64	OK	227
macos-oldrel-x86_64	OK	311
windows-devel	OK	153
windows-release	OK	151
windows-oldrel	OK	188
wasm-release	OK	115

Exports:aftsem

Dependencies:lattice MASS Matrix MatrixModels nloptr numDeriv optimx pracma quantreg Rcpp RcppArmadillo SparseM survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Semiparametric Accelerated Failure Time Model	aftsem-package
Accelerated Failure Time Semiparametric Model	aftsem
Semi-parametric AFT Model Fitting	aftsem_fit
Control list for package	aftsem.control
Gehan's Estimation for Survival Data	gehan_estimation
Gehan-Heller Estimation of regression parameters	gehan_heller_estimation
Estimation of Regression Parameters from Smoothed Gehan Function	gehan_poly_estimation
Print method for aftsem xs	print.aftsem
Print method for objects of class `summaryaftsem`	print.summaryaftsem
Summary function for aftsem package	summary.aftsem