Package: fastcmprsk
Information: A scalable and fast approach for penalized and unpenalized Fine-Gray estimation.
Version: 1.20.6
Author: Eric S. Kawaguchi
Contact: ekawaguc [at] usc.edu
Reference:

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RELEASE 1.20.6 (Jun. 2020)
1) Allows for Fine-Gray regression w.o presence of right censoring.

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RELEASE 1.20.4 (Apr. 2020)
1) New version name! (1.x.y stands for Year X, Quarter Y)
2) Allowable extraction of bootstrap matrix

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RELEASE 1.1.2 (Oct. 2019)
1) Modified ```Crisk``` function to properly allow for non-standard censoring coding

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RELEASE 1.1.1 (Sept. 2019)
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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