In addition to modeling the expectation (location) of an outcome, mixed effects location scale models (MELSMs) include submodels on the variance components (scales) directly. This allows models on the withingroup variance with mixed effects, and betweengroup variances with fixed effects. The MELSM can be used to model volatility, intraindividual variance, uncertainty, measurement error variance, and more. Multivariate MELSMs (MMELSMs) extend the model to include multiple correlated outcomes, and therefore multiple locations and scales. The latent multivariate MELSM (LMMELSM) further includes multiple correlated latent variables as outcomes. This package implements twolevel mixed effects location scale models on multiple observed or latent outcomes, and betweengroup variance modeling. Williams, Martin, Liu, and Rast (2020) <doi:10.1027/10155759/a000624>. Hedeker, Mermelstein, and Demirtas (2008) <doi:10.1111/j.15410420.2007.00924.x>.
Package details 


Author  Stephen Martin [aut, cre] (<https://orcid.org/0000000180852390>), Philippe Rast [aut] (<https://orcid.org/0000000336306629>) 
Maintainer  Stephen Martin <stephenSRMMartin@gmail.com> 
License  MIT + file LICENSE 
Version  0.2.0 
Package repository  View on CRAN 
Installation 
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