Calculates bias, precision, and power for multilevel random regressions. Random regressions are types of hierarchical models in which data are structured in groups and (regression) coefficients can vary by groups. Tools to estimate model performance are designed mostly for scenarios where (regression) coefficients vary at just one level. 'MultiRR' provides simulation and analytical tools (based on 'lme4') to study model performance for random regressions that vary at more than one level (multilevel random regressions), allowing researchers to determine optimal sampling designs.
Package details 


Author  Yimen G. ArayaAjoy 
Maintainer  Yimen G. ArayaAjoy <[email protected]> 
License  GPL2 
Version  1.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.