Package: penAFT
Type: Package
Title: Fit the Semiparametric Accelerated Failure Time Model with
        Elastic Net and Sparse Group Lasso Penalties
Version: 0.3.2
Authors@R: c(person("Aaron J.", "Molstad", email = "amolstad@ufl.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0645-5105")), person("Piotr M.", "Suder", role = "aut"))
Description: The semiparametric accelerated failure time (AFT) model is an attractive alternative to the Cox proportional hazards model. This package provides a suite of functions for fitting one popular rank-based estimator of the semiparametric AFT model, the regularized Gehan estimator. Specifically, we provide functions for cross-validation, prediction, coefficient extraction, and visualizing both trace plots and cross-validation curves. For further details, please see Suder, P. M. and Molstad, A. J., (2022) Scalable algorithms for semiparametric accelerated failure time models in high dimensions, Statistics in Medicine <doi:10.1002/sim.9264>. 
License: GPL (>= 2)
URL: https://ajmolstad.github.io/research/
BugReports: https://github.com/ajmolstad/penAFT/issues
Imports: Rcpp, Matrix, ggplot2, irlba
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-06-16 15:42:59 UTC; amolstad
Author: Aaron J. Molstad [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-0645-5105>),
  Piotr M. Suder [aut]
Maintainer: Aaron J. Molstad <amolstad@ufl.edu>
Repository: CRAN
Date/Publication: 2025-06-16 16:10:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 09:21:40 UTC; unix
Archs: penAFT.so.dSYM
