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 utilize the empirical distribution function for complete data
and are extended to handle 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. Graphical tools, such as probability and cumulative hazard plots,
to help guide decisions about the most appropriate parametric model for the data.
| Version: |
1.2.1 |
| Depends: |
R (≥ 3.5.0), survival, actuar |
| Imports: |
fitdistrplus, grid, ggplot2, gridExtra, boot, methods |
| Suggests: |
knitr, rmarkdown |
| Published: |
2024-11-09 |
| 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:
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