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REML Permutation Test for Random terms

This menu allows you to drop a random term from a REML model to assess its significance using a permutation test using the VRPERMTEST procedure.

Random term to drop from the model

The dropdown list contains the terms in the random part of the REML model. Select the term that is to be checked for significance.


This controls what output is printed from the analysis:

Summary A summary of the test results: first the seed, the number of permutations and percentage of successful permutations, then a table showing the random term tested, test statistic and the corresponding p-value
Diagnostics Any error diagnostics from the REML analyses
Monitoring Monitoring information, showing the progress of the analysis


This controls what plots are displayed from the analysis:

Kernel density plot A kernel density plot of the permuted test statistics
Histogram A histogram of the permuted test statistics

Number of permutations

This option specifies the number of permutation samples that are performed, default 99 (as well as the “null” permutation where the data keep their original order).

Number of retries

This option specifies the number of extra permutations that are performed when the REML model does not converge for a permutation, default 99.


Specifies the seed for the random number generator used to make the permutations; default 0 continues from the previous generation or (if none) initializes the seed automatically.


Use these options to save results from the VRPERMTEST analysis. After selecting the Results box, you need to type the identifier of a pointer into the In: field. The two variates in the results pointer are the test statistics from the permutations (likelihood ratio test and BLUP).

Display in spreadsheet

The saved results will be displayed in a new spreadsheet.

See also

Updated on September 13, 2019

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