The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Introduction

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!

What’s New in Version 1.22.1?

1. Allows for Fine-Gray regression w.o presence of right censoring.

Features

• 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.

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 4.0.0 or higher).

User Documentation

• Package manual: Currently unavailable.
• Please cite Kawaguchi et al. (2021).

License

fastcmprsk is licensed under GPL-3.

Development

fastcmprsk is being developed in R Studio.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.