fastcmprsk is an R package for performing Fine-Gray regression via a forward-backward scan algorithm.
Official CRAN release is available here.
NOTE TO USERS: We plan to make monthly/quarterly updates to the package!
- Made modification to allow for more than one competing risk.
- Scalable Fine-Gray parameter 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.
fastcmprsk in an R package with most functionality implemented in C. The package uses cyclic coordinate descent to optimize the likelihood function.
To install the latest development version, install from GitHub.
install.packages("devtools")
devtools::install_github(“erickawaguchi/fastcmprsk”)Requires R (version 4.4.0 or higher).
- Package manual: Currently unavailable.
- Please cite Kawaguchi et al. (2021).
fastcmprsk is licensed under GPL-3.
fastcmprsk is being developed in R Studio.