The EnvStats functions listed below are useful for performing goodness-of-fit tests for user-specified probability distributions.
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" . |
Choose a Distribution
Function Name | Description |
distChoose | Choose best fitting distribution based on goodness-of-fit tests. |
print.distChoose | S3 class method for printing an object of class "distChoose" . |