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r-penaft 0.3.2
Propagated dependencies: r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-matrix@1.7-3 r-irlba@2.3.5.1 r-ggplot2@3.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://ajmolstad.github.io/research/
Licenses: GPL 2+
Synopsis: Fit the Semiparametric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties
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>.

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