GofCens: Goodness-of-Fit Methods for Right-Censored Data
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 
[aut, cre],
Mireia Besalú
[aut],
Matilde Francisco
[aut],
Arnau Garcia
[aut],
Guadalupe Gómez
[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:
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