Package: aftPenCDA
Title: Estimating Penalized AFT Models via Coordinate Descent
Version: 0.1.1
Authors@R: c(
    person(given = "Suyeon", family = "Seon",
           role = c("aut", "cre"),
           email = "seonsy429@gmail.com"),
    person(given = "Taehwa", family = "Choi",
           role = c("aut"),
           email = "taehwa015@gmail.com"),
    person(given = "Dipankar", family = "Bandyopadhyay",
           role = c("aut"),
           email = "bandyopd@gmail.com"),
    person(given = "Dongha", family = "Kim",
           role = c("aut"),
           email = "dongha0718@gmail.com"),
    person(given = "Seongoh", family = "Park",
           role = c("aut"),
           email = "inmybrain6@gmail.com")
    )
Maintainer: Suyeon Seon <seonsy429@gmail.com>
Description: 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>.
URL: https://github.com/seonsy/aftPenCDA
BugReports: https://github.com/seonsy/aftPenCDA/issues
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-04-23 02:57:34 UTC; seonsuyeon
Author: Suyeon Seon [aut, cre],
  Taehwa Choi [aut],
  Dipankar Bandyopadhyay [aut],
  Dongha Kim [aut],
  Seongoh Park [aut]
Repository: CRAN
Date/Publication: 2026-04-23 05:10:29 UTC
