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

Graphical tools and goodness-of-fit tests for right-censored data: 1. Kolmogorov-Smirnov, Crámer-von Mises, and Anderson-Darling tests based on the empirical distribution function for complete data and their extensions for right-censored data. 2. Generalized chi-squared-type tests based on the squared difference 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 parametric model that best fits the data.

Version: 0.91
Depends: R (≥ 3.5.0), eha, actuar, fitdistrplus
Imports: survival, survsim, grid, ggplot2, gridExtra
Published: 2021-08-20
Author: Klaus Langohr [aut, cre], Mireia Besalú [aut], Guadalupe Gómez [ctb]
Maintainer: Klaus Langohr <klaus.langohr at upc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GofCens results

Downloads:

Reference manual: GofCens.pdf
Package source: GofCens_0.91.tar.gz
Windows binaries: r-devel: GofCens_0.91.zip, r-release: GofCens_0.91.zip, r-oldrel: GofCens_0.91.zip
macOS binaries: r-release (arm64): GofCens_0.91.tgz, r-release (x86_64): GofCens_0.91.tgz, r-oldrel: GofCens_0.91.tgz

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