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>.

Package details

AuthorSuyeon Seon [aut, cre], Taehwa Choi [aut], Dipankar Bandyopadhyay [aut], Dongha Kim [aut], Seongoh Park [aut]
MaintainerSuyeon Seon <seonsy429@gmail.com>
LicenseGPL-3
Version0.1.1
URL https://github.com/seonsy/aftPenCDA
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("aftPenCDA")

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aftPenCDA documentation built on April 23, 2026, 9:11 a.m.