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
Insights
Last 30 days
This package has been downloaded 557 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 53 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,826 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 05, 2025 with 71 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Depends2 packages
- Imports4 packages
- Suggests2 packages