Cprob: The Conditional Probability Function of a Competing Event

Permits to estimate the conditional probability function of a competing event, and to fit, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function (or other models by specifying another link function). See <doi:10.1111/j.1467-9876.2010.00729.x>.

Version: 1.4.1
Depends: prodlim
Imports: tpr, geepack, lgtdl, graphics, stats, lattice
Published: 2018-05-22
Author: Arthur Allignol
Maintainer: Arthur Allignol <arthur.allignol at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README ChangeLog
In views: Survival
CRAN checks: Cprob results


Reference manual: Cprob.pdf


Package source: Cprob_1.4.1.tar.gz
Windows binaries: r-devel: Cprob_1.4.1.zip, r-release: Cprob_1.4.1.zip, r-oldrel: Cprob_1.4.1.zip
macOS binaries: r-release (arm64): Cprob_1.4.1.tgz, r-release (x86_64): Cprob_1.4.1.tgz, r-oldrel: Cprob_1.4.1.tgz
Old sources: Cprob archive


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