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fastcmprsk  

Fine-Gray Regression via Forward-Backward Scan
View on CRAN: Click here


Download and install fastcmprsk package within the R console
Install from CRAN:
install.packages("fastcmprsk")

Install from Github:
library("remotes")
install_github("cran/fastcmprsk")

Install by package version:
library("remotes")
install_version("fastcmprsk", "1.24.10")



Attach the package and use:
library("fastcmprsk")
Maintained by
Eric S. Kawaguchi
[Scholar Profile | Author Map]
First Published: 2019-09-07
Latest Update: 2023-01-25
Description:
In competing risks regression the proportional subdistribution hazards PSH model is popular for its direct assessment of covariate effects on the cumulative incidence function. This package allows for both penalized and unpenalized PSH regression in linear time using a novel forward-backward scan. Penalties include Ridge Lease Absolute Shrinkage and Selection Operator LASSO Smoothly Clipped Absolute Deviation SCAD Minimax Concave Plus MCP and elastic net.
How to cite:
Eric S. Kawaguchi (2019). fastcmprsk: Fine-Gray Regression via Forward-Backward Scan. R package version 1.24.10, https://cran.r-project.org/web/packages/fastcmprsk. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.1.0 (2019-09-07 11:30), 1.1.1 (2019-09-12 01:00), 1.24.5 (2024-05-15 10:50)
Other packages that cited fastcmprsk R package
View fastcmprsk citation profile
Other R packages that fastcmprsk depends, imports, suggests or enhances
Complete documentation for fastcmprsk
Functions, R codes and Examples using the fastcmprsk R package
Full fastcmprsk package functions and examples
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