Package: aftPenCDA 0.1.1

Suyeon Seon

aftPenCDA: Estimating Penalized AFT Models via Coordinate Descent

Provides penalized accelerated failure time (AFT) model estimation for right-censored and partly interval-censored survival data using induced smoothing and coordinate descent algorithms. Supported penalties include broken adaptive ridge (BAR), LASSO, adaptive LASSO, and SCAD. Core estimation routines are implemented in 'C++' via 'Rcpp' and 'RcppArmadillo' for computational efficiency. The methodology is related to Zeng and Lin (2008) <doi:10.1093/biostatistics/kxm034>, Xu et al. (2010) <doi:10.1002/sim.2576>, Dai et al. (2018) <doi:10.1016/j.jmva.2018.08.007>, and Choi et al. (2025) <doi:10.48550/arXiv.2503.11268>.

Authors:Suyeon Seon [aut, cre], Taehwa Choi [aut], Dipankar Bandyopadhyay [aut], Dongha Kim [aut], Seongoh Park [aut]

aftPenCDA_0.1.1.tar.gz
aftPenCDA_0.1.1.tar.gz(r-4.7-arm64)aftPenCDA_0.1.1.tar.gz(r-4.7-x86_64)aftPenCDA_0.1.1.tar.gz(r-4.6-arm64)aftPenCDA_0.1.1.tar.gz(r-4.6-x86_64)
aftPenCDA_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
aftPenCDA/json (API)

# Install 'aftPenCDA' in R:
install.packages('aftPenCDA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/seonsy/aftpencda/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • simdat_pic - Simulated clustered partly interval-censored data
  • simdat_rc - Simulated right-censored data

On CRAN:

Conda:

openblascpp

3.00 score 4 scripts 596 downloads 2 exports 2 dependencies

Last updated from:8616ed670c. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK179
linux-devel-x86_64OK150
source / vignettesOK219
linux-release-arm64OK166
linux-release-x86_64OK144
wasm-releaseOK122

Exports:aftpenaftpen_pic

Dependencies:RcppRcppArmadillo

Getting started with aftPenCDA package

Rendered fromaftPenCDA.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-04-23
Started: 2026-04-07