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GofCens (version 1.1)

Goodness-of-Fit Methods for Complete and Right-Censored Data

Description

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.

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Version

Install

install.packages('GofCens')

Monthly Downloads

842

Version

1.1

License

GPL (>= 2)

Maintainer

Klaus Langohr

Last Published

July 29th, 2024

Functions in GofCens (1.1)

probPlot

Probability plots to check the goodness of fit of parametric models
print.CvMcens

Printing method for CvMcens object.
print.KScens

Printing method for KScens object.
print.gofcens

Printing method for gofcens object.
print.chisqcens

Printing method for chisqcens object.
print.ADcens

Printing method for ADcens object.
ADcens

Anderson-Darling test for complete and right-censored data
nba

Survival times of former NBA players.
cumhazPlot

Cumulative hazard plots to check the goodness of fit of parametric models
GofCens-package

Goodness-of-Fit Methods for Complete and Right-Censored Data.
kmPlot

Plot of the Kaplen-Meier and parametric estimations
chisqcens

General chi-squared statistics for right-censored data.
KScens

Kolmogorov-Smirnov test for complete and right-censored data
CvMcens

Cramér-von Mises test for complete and right-censored data
gofcens

Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling statistics for complete and right-censored data