pbkrtest - Test in linear mixed effects models based on parametric bootstrap approaches and Kenward-Roger modification of F-tests

The pbkrtest package is an R package for tests in linear mixed effects models based on parametric bootstrap approaches and Kenward-Roger modification of F-tests

1  Development versions of the packages

Development versions of the packages may be available here.

2  Performance issues

Calculation of the the adjusted degrees of freedom for the Kenward-Roger approximation can be computationally demanding because it requires inversion of an N ×N matrix where N is the number of observations.
Possible remedies for this:

3  Reporting unexpected behaviours (bugs)

When reporting unexpected behaviours, bugs etc. in the packages, PLEASE supply:
  1. A reproducible example in terms of a short code fragment.
  2. The data. The preferred way of sending the data "mydata" is to copy and paste the result from running dput(mydata).
  3. The result of running the sessionInfo() function.

4  FAQ (frequently asked questions)

Q:
Do these methods work for generalized linear mixed models ?
A:
Parametric bootstrap is available for generalized linear mixed models. We are not aware of any developments for approximate F-tests in the spirit of Kenward-Roger for generalized linear models.
Q:
Are these models implemented for mixed models fitted with the nlme package?
A:
No. We focus attention on the lme4 package.
Søren Højsgaard sorenh [at] math [dot] aau [dot] dk



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On 19 Jan 2016, 10:59.