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" . |