CRAN/E | penAFT

penAFT

Fit the Regularized Gehan Estimator with Elastic Net and Sparse Group Lasso Penalties

Installation

About

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.

Key Metrics

Version 0.3.0
Published 2023-04-18 386 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks penAFT results

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Maintainer

Maintainer

Aaron J. Molstad

amolstad@ufl.edu

Authors

Aaron J. Molstad

aut / cre

Piotr M. Suder

aut

Material

README
Reference manual
Package source

macOS

r-devel

arm64

r-release

arm64

r-oldrel

arm64

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

penAFT archive

Imports

Rcpp
Matrix
ggplot2
irlba

LinkingTo

Rcpp
RcppArmadillo