discfrail: Cox Models for Time-to-Event Data with Nonparametric Discrete Group-Specific Frailties

Functions for fitting Cox proportional hazards models for grouped time-to-event data, where the shared group-specific frailties have a discrete nonparametric distribution. The methods proposed in the package is described by Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H., Sharples, L. (2018) <doi:10.1093/biostatistics/kxy071>. There are also functions for simulating from these models, with a nonparametric or a parametric baseline hazard function.

Version: 0.1
Depends: R (≥ 3.3.0), survival
Imports: Matrix, numDeriv
Suggests: knitr, rmarkdown
Published: 2019-03-13
Author: Francesca Gasperoni [aut, cre], Christopher Jackson [aut]
Maintainer: Francesca Gasperoni <francesca.gasperoni at polimi.it>
BugReports: https://github.com/fgaspe04/discfrail/issues
License: GPL-3
URL: https://github.com/fgaspe04/discfrail
NeedsCompilation: no
CRAN checks: discfrail results

Documentation:

Reference manual: discfrail.pdf
Vignettes: discfrail

Downloads:

Package source: discfrail_0.1.tar.gz
Windows binaries: r-devel: discfrail_0.1.zip, r-release: discfrail_0.1.zip, r-oldrel: discfrail_0.1.zip
macOS binaries: r-release (arm64): discfrail_0.1.tgz, r-oldrel (arm64): discfrail_0.1.tgz, r-release (x86_64): discfrail_0.1.tgz, r-oldrel (x86_64): discfrail_0.1.tgz

Linking:

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