Package: GofCens 1.2.1

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 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.

Authors:Klaus Langohr [aut, cre], Mireia Besalú [aut], Matilde Francisco [aut], Arnau Garcia [aut], Guadalupe Gómez [aut]

GofCens_1.2.1.tar.gz
GofCens_1.2.1.tar.gz(r-4.5-noble)GofCens_1.2.1.tar.gz(r-4.4-noble)
GofCens_1.2.1.tgz(r-4.4-emscripten)GofCens_1.2.1.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'))

Peer review:

Bug tracker:https://github.com/arnaugarciagrbio/gofcens/issues

Datasets:
  • nba - Survival times of former NBA players.

3.48 score 10 scripts 487 downloads 8 exports 34 dependencies

Last updated 15 days agofrom:3c1fb88fbc. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

Exports:ADcenschisqcenscumhazPlotCvMcensgofcenskmPlotKScensprobPlot

Dependencies:actuarbootclicolorspaceexpintfansifarverfitdistrplusggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr

Goodness of fit Tests

Arnau Garcia

Rendered fromGoodness_of_fit_Tests.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2024-10-25
Started: 2024-10-25