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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 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.
Getting started
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Package details |
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| Author | Klaus Langohr [aut, cre], Mireia Besalú [aut], Matilde Francisco [aut], Guadalupe Gómez [aut] |
| Maintainer | Klaus Langohr <klaus.langohr@upc.edu> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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