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>.
Package details |
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Author | Aaron J. Molstad [aut, cre] (<https://orcid.org/0000-0003-0645-5105>), Piotr M. Suder [aut] |
Maintainer | Aaron J. Molstad <amolstad@ufl.edu> |
License | GPL (>= 2) |
Version | 0.3.0 |
URL | ajmolstad.github.io/research |
Package repository | View on CRAN |
Installation |
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