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aftPenCDA  

Estimating Penalized AFT Models via Coordinate Descent
View on CRAN: Click here


Download and install aftPenCDA package within the R console
Install from CRAN:
install.packages("aftPenCDA")

Install from Github:
library("remotes")
install_github("cran/aftPenCDA")

Install by package version:
library("remotes")
install_version("aftPenCDA", "0.1.1")



Attach the package and use:
library("aftPenCDA")
Maintained by
Suyeon Seon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-07
Latest Update: 2026-04-07
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>.
How to cite:
Suyeon Seon (2026). aftPenCDA: Estimating Penalized AFT Models via Coordinate Descent. R package version 0.1.1, https://cran.r-project.org/web/packages/aftPenCDA. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1.0 (2026-04-07 09:40)
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Complete documentation for aftPenCDA
Functions, R codes and Examples using the aftPenCDA R package
Full aftPenCDA package functions and examples
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