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: |
1.1 |
Depends: |
R (≥ 3.5.0), survival, actuar |
Imports: |
fitdistrplus, grid, ggplot2, gridExtra, survminer, boot |
Published: |
2024-07-29 |
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 |
Documentation:
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