Package: fastcmprsk
Information: A scalable and fast approach for penalized and unpenalized Fine-Gray estimation.
Version: 1.0.3
Author: Eric S. Kawaguchi
Contact: ekawaguc [at] usc.edu
Reference:

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RELEASE 1.1.0
1) Initial CRAN release.
2) Go to www.github.com/erickawaguchi/fastcmprsk for most recent developments!

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RELEASE 1.0.3
1) Develop a Crisk object to mimic the Surv object in R.
2) Allow formula input for fastCrr and fastCrrp

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RELEASE 1.0.2
1) Implemented (adaptvie) elastic net regression.
2) Created function to produce a data-driven grid for penalized regression (see crrp).

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RELEASE 1.0.1
1) Allow to use multiple cores for bootstrapping (initial).
2) Incorporated LRT to fastCrr output.
3) Allow for one-dimensional covariates (covariate vector to matrix internally).
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RELEASE 1.0.0 represents the first release of the package to the public.
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