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". |