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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.
Getting started
Browse package contents
Package details |
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| Author | Klaus Langohr [aut, cre], Mireia Besalú [aut], Matilde Francisco [aut], Arnau Garcia [aut], Guadalupe Gómez [aut] |
| Maintainer | Klaus Langohr <klaus.langohr@upc.edu> |
| License | GPL (>= 2) |
| Version | 1.2.1 |
| URL | https://arnaugarciagrbio.github.io/GofCens/ https://github.com/ArnauGarciaGRBIO/GofCens |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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