Package: GofCens 1.2
Klaus Langohr
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.
Authors:
GofCens_1.2.tar.gz
GofCens_1.2.tar.gz(r-4.5-noble)GofCens_1.2.tar.gz(r-4.4-noble)
GofCens_1.2.tgz(r-4.4-emscripten)GofCens_1.2.tgz(r-4.3-emscripten)
GofCens.pdf |GofCens.html✨
GofCens/json (API)
| # Install 'GofCens' in R: |
| install.packages('GofCens', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:0eb8c91291. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
Exports:ADcenschisqcenscumhazPlotCvMcensgofcenskmPlotKScensprobPlot
Dependencies:actuarbootclicolorspaceexpintfansifarverfitdistrplusggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr
