Introduction
fastcmprsk is an R package for performing Fine-Gray regression via a forward-backward scan algorithm.
Official release is available on CRAN and the master branch on GitHub.
Features
- Scalable Fine-Gray estimation procedure for large-scale competing risks data.
- Currently supports unpenalized and penalized (LASSO, ridge, SCAD, MCP, elastic-net) regression.
- Can perform CIF estimation with interval/band estimation via bootstrap.
What’s New in Version 1.1.0?
- Official version is loaded onto CRAN.
Implementation
fastcmprsk in an R package with most functionality implemented in C. The package uses cyclic coordinate descent to optimize the likelihood function.
Installation
To install the latest development version, install from GitHub.
install.packages("devtools")
devtools::install_github(“erickawaguchi/fastcmprsk”)
System Requirements
Requires R (version 3.5.0 or higher).
User Documentation
- Package manual: Currently unavailable.
- Please cite Kawaguchi et al. (2019).
License
fastcmprsk is licensed under GPL-3.
Development
fastcmprsk is being developed in R Studio.