Fine-Gray Regression via Forward-Backward Scan

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.


Reference manual

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1.1.1 by Eric S. Kawaguchi, a year ago

Browse source code at

Authors: Eric S. Kawaguchi

Documentation:   PDF Manual  

GPL-3 license

Imports dynpred, foreach, survival

Suggests testthat, cmprsk, crrp

See at CRAN