EnvStats Functions for Goodness-of-Fit Tests

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Description

The EnvStats functions listed below are useful for performing goodness-of-fit tests for user-specified probability distributions.

Details

Goodness-of-Fit Tests

Function Name Description
gofTest Perform a goodness-of-fit test for a specified probability distribution.
The resulting object is of class "gof" unless the test is the
two-sample Kolmogorov-Smirnov test, in which case the resulting
object is of class "gofTwoSample".
plot.gof S3 class method for plotting an object of class "gof".
print.gof S3 class method for printing an object of class "gof".
plot.gofTwoSample S3 class method for plotting an object of class "gofTwoSample".
print.gofTwoSample S3 class method for printing an object of class "gofTwoSample".
gofGroupTest Perform a goodness-of-fit test to determine whether data in a set of groups
appear to all come from the same probability distribution
(with possibly different parameters for each group).
The resulting object is of class "gofGroup".
plot.gofGroup S3 class method for plotting an object of class "gofGroup".
print.gofGroup S3 class method for printing an object of class "gofGroup".

Tests for Outliers

Function Name Description
rosnerTest Perform Rosner's test for outliers assuming a normal (Gaussian) distribution.
print.gofOutlier S3 class method for printing an object of class "gofOutlier".

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