GofCens: Goodness-of-Fit Methods for Right-Censored Data (original) (raw)

Graphical tools and goodness-of-fit tests for 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. These functions share several features as they can handle both complete and right-censored data, and they provide parameter estimates for the distributions under study.

Version: 1.5
Depends: R (≥ 3.5.0), survival, actuar
Imports: fitdistrplus, grid, ggplot2, gridExtra, boot, methods
Suggests: knitr, rmarkdown, rms
Published: 2025-05-29
DOI: 10.32614/CRAN.package.GofCens
Author: Klaus Langohr ORCID iD [aut, cre], Mireia Besalú ORCID iD [aut], Matilde Francisco ORCID iD [aut], Arnau Garcia ORCID iD [aut], Guadalupe Gómez ORCID iD [aut]
Maintainer: Klaus Langohr <klaus.langohr at upc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://arnaugarciagrbio.github.io/GofCens/,https://github.com/ArnauGarciaGRBIO/GofCens
NeedsCompilation: no
Materials: README
CRAN checks: GofCens results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GofCensto link to this page.