README.md

In erickawaguchi/fastcmprsk: Fine-Gray Regression via Forward-Backward Scan

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 1.24.10?

1. Made modification to allow for more than one competing risk.

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 4.4.0 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.

erickawaguchi/fastcmprsk documentation built on Nov. 1, 2024, 10:09 p.m.