GofCens: Goodness-of-Fit Methods for Complete and Right-Censored Data

Graphical tools and goodness-of-fit tests for complete and right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use the empirical distribution function for complete data and are extended for right-censored data. 2. Generalized chi-squared-type test, which is based on the squared differences between observed and expected counts using random cells with right-censored data. 3. A series of graphical tools such as probability or cumulative hazard plots to guide the decision about the most suitable parametric model for the data.

Version: 1.0
Depends: R (≥ 3.5.0), actuar
Imports: survival, fitdistrplus, grid, ggplot2, gridExtra, survminer, boot
Published: 2024-05-23
DOI: 10.32614/CRAN.package.GofCens
Author: Klaus Langohr [aut, cre], Mireia Besalú [aut], Matilde Francisco [aut], Guadalupe Gómez [aut]
Maintainer: Klaus Langohr <klaus.langohr at upc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GofCens results


Reference manual: GofCens.pdf


Package source: GofCens_1.0.tar.gz
Windows binaries: r-devel: GofCens_1.0.zip, r-release: GofCens_1.0.zip, r-oldrel: GofCens_1.0.zip
macOS binaries: r-release (arm64): GofCens_1.0.tgz, r-oldrel (arm64): GofCens_1.0.tgz, r-release (x86_64): GofCens_1.0.tgz, r-oldrel (x86_64): GofCens_1.0.tgz
Old sources: GofCens archive


Please use the canonical form https://CRAN.R-project.org/package=GofCens to link to this page.