Package: GofCens 1.1

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

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GofCens/json (API)

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8 exports 0.49 score 93 dependencies 10 scripts 422 downloads

Last updated 2 months agofrom:8cd597daa0. Checks:OK: 7. Indexed: yes.

Exports:ADcenschisqcenscumhazPlotCvMcensgofcenskmPlotKScensprobPlot

Dependencies:abindactuarbackportsbootbroomcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydplyrevaluateexactRankTestsexpintfansifarverfitdistrplusgenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobandjpegkm.ciKMsurvknitrlabelinglatticelifecyclelme4magrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrstatixscalesSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo