donaldRwilliams/hypMuVar: Bayesian Hypothesis Testing of Mean-Variance Relations

Bayesian hypothesis testing of mean and variance relations in mixed effects location scale models. There are hypothesis tests for correlations in the distribution of random effects, as well as Bayesian model averaging and selection. This is accomplished with mixture prior distributions or spike and slab methodology. There are plotting capabilities for the individual difference parameters (random effects).

Getting started

Package details

MaintainerDonald R. Williams <drwwilliams@ucdavis.edu>
LicenseGPL-2
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("donaldRwilliams/hypMuVar")
donaldRwilliams/hypMuVar documentation built on Jan. 10, 2020, 9:45 a.m.