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.
- Version1.2.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release11/09/2024
Documentation
Team
Klaus Langohr
Mireia Besalú
Show author detailsRolesAuthorMatilde Francisco
Show author detailsRolesAuthorArnau Garcia
Show author detailsRolesAuthorGuadalupe Gómez
Show author detailsRolesAuthor
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- Depends2 packages
- Imports4 packages
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