MultiRR: Bias, Precision, and Power for Multi-Level Random Regressions
Version 1.1

Calculates bias, precision, and power for multi-level 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 (multi-level random regressions), allowing researchers to determine optimal sampling designs.

Package details

AuthorYimen G. Araya-Ajoy
Date of publication2015-10-21 11:36:43
MaintainerYimen G. Araya-Ajoy <yimencr@gmail.com>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MultiRR")

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MultiRR documentation built on May 29, 2017, 11:30 a.m.