.full_to_lower_tri

Helper for correlation-matrix summarize output.

internal

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>.

Stephen Martin

LMMELSM

Fit Latent Multivariate Mixed Effects Location Scale Models

Philippe Rast

.full_to_lower_tri function

<dl><dt>x</dt>
<dd>Integer. Dimension of matrix.</dd>
<dt>string</dt>
<dd>Logical (Default: FALSE). Whether to return strings (e.g., <code>[2,1]</code>, or row indices, assuming column-major ordering.)</dd></dl>

Arguments

Author

Get indices for subsetting lower-tri summaries of square matrices. — .full_to_lower_tri

<dl>

<dt>x</dt>
<dd>Integer. Dimension of matrix.</dd>


<dt>string</dt>
<dd>Logical (Default: FALSE). Whether to return strings (e.g., <code>[2,1]</code>, or row indices, assuming column-major ordering.)</dd>

</dl>

.full_to_lower_tri: Get indices for subsetting lower-tri summaries of square matrices.

Description

Usage

Value

Arguments

Author

Details