Package: aftsem 1.0

Martin Benedikt

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.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://cran.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:

Conda:

openblascppopenmp

1.00 score 3 scripts 205 downloads 1 exports 13 dependencies

Last updated from:1c83426a72. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK172
linux-devel-x86_64OK152
source / vignettesOK216
linux-release-arm64OK187
linux-release-x86_64OK162
wasm-releaseOK132

Exports:aftsem

Dependencies:latticeMASSMatrixMatrixModelsnloptrnumDerivoptimxpracmaquantregRcppRcppArmadilloSparseMsurvival