Covers the basics of mixed models, mostly using @lme4
-
Updated
Jan 30, 2022 - R
Covers the basics of mixed models, mostly using @lme4
An R package for extracting results from mixed models that are easy to use and viable for presentation.
Statistical Quantification of Individual Differences: an simulation tool for understanding multi-level phenotypic data in linear mixed models
Workshop on using Mixed Models with R
Code and Tutorials for Running the MArginal ePIstasis Test (MAPIT)
Functions for using mgcv for mixed models. 📈
The multivariate MArginal ePIstasis Test
MM algorithm for selecting variance components via penalization
Simulation of LSVSE on line and plane fitting
Add a description, image, and links to the variance-components topic page so that developers can more easily learn about it.
To associate your repository with the variance-components topic, visit your repo's landing page and select "manage topics."