Package: penAFT
Type: Package
Title: Fit the Regularized Gehan Estimator with Elastic Net and Sparse
        Group Lasso Penalties
Version: 0.3.0
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 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, to appear in Statistics in Medicine <doi:10.1002/sim.9264>. 
License: GPL (>= 2)
URL: ajmolstad.github.io/research
Imports: Rcpp, Matrix, ggplot2, irlba
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-04-18 02:44:04 UTC; aaron
Author: Aaron J. Molstad [aut, cre] (<https://orcid.org/0000-0003-0645-5105>),
  Piotr M. Suder [aut]
Maintainer: Aaron J. Molstad <amolstad@ufl.edu>
Repository: CRAN
Date/Publication: 2023-04-18 03:10:02 UTC
Built: R 4.2.0; aarch64-apple-darwin20; 2023-07-11 00:36:59 UTC; unix
Archs: penAFT.so.dSYM
