posterior_density_funs_sigmas

mires

<p>Logical (Default: TRUE). Whether to add a zero to samples.</p>

add_zero

<p>For each RE-SD, approximates the marginal posterior density from MCMC samples for use in BF calculations.</p>

internal

Estimates random effect latent measurement models, wherein the loadings, residual variances, intercepts, latent means, and latent variances all vary across groups. The random effect variances of the measurement parameters are then modeled using a hierarchical inclusion model, wherein the inclusion of the variances (i.e., whether it is effectively zero or non-zero) is informed by similar parameters (of the same type, or of the same item). This additional hierarchical structure allows the evidence in favor of partial invariance to accumulate more quickly, and yields more certain decisions about measurement invariance. Martin, Williams, and Rast (2020) <doi:10.31234/osf.io/qbdjt>.

posterior_density_funs_sigmas: Create marginal posterior density function approximations for random effect SDs

Description

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Details