LMMELSM
Fit Latent Multivariate Mixed Effects Location Scale Models
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 within-group variance with mixed effects, and between-group 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 two-level mixed effects location scale models on multiple observed or latent outcomes, and between-group variance modeling. Williams, Martin, Liu, and Rast (2020) doi:10.1027/1015-5759/a000624. Hedeker, Mermelstein, and Demirtas (2008) doi:10.1111/j.1541-0420.2007.00924.x.
- Version0.2.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Williams, Martin, Liu, and Rast (2020)
- Hedeker, Mermelstein, and Demirtas (2008)
- Last release12/15/2022
Documentation
Team
Stephen Martin
Philippe Rast
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Last 30 days
This package has been downloaded 202 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 2,499 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 31 downloads.
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Dependencies
- Imports8 packages
- Suggests1 package
- Linking To6 packages