mmiCATs (version 0.2.0)

kenward_roger: Kenward-Roger Analysis Shiny Application

Description

A Shiny application that allows users to upload a dataset, modify variable types, and fit a mixed-effects model using the Kenward-Roger approximation for small sample inference.

Usage

kenward_roger()

Value

A Shiny application object.

Details

The application provides an interactive interface for setting up and running a mixed-effects model analysis with the Kenward-Roger method for estimating the degrees of freedom in linear mixed-effects models.

References

Kenward, M. G., & Roger, J. H. (1997). Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood. Biometrics, 53, 983-997.

Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software, 82(13), 1-26. <doi: 10.18637/jss.v082.i13>.

Examples

if (interactive()) {
  kenward_roger()
}