tidy_stanpars

stannames

Optional. Character vector for what indices meaningfully pertain to. E.g., c("Factor", "Item") for an FxJ matrix.

labs

Optional. Named vectors of labels corresponding to indices. E.g., if labs = "Item", and you include <code>Item = colnames(model_matrix)</code>, then the indices (numeric) are replaced by the name in the supplied vector. E.g., the numeric i will be replaced by the i-th name.

Tidy up a vector of stan names into a data frame.

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>.

tidy_stanpars: Tidy up a vector of stan names into a data frame.

Description

Usage

Arguments

Value