MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage

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>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0), Formula (≥ 1.2-1), stats (≥ 3.4.0), parallel (≥ 3.4.0), mvtnorm (≥ 1.0), dirichletprocess (≥ 0.4.0), truncnorm (≥ 1.0), pracma (≥ 2.2.9), cubature (≥ 2.0.0), logspline (≥ 2.1.0), nlme (≥ 3.1), HDInterval (≥ 0.2.2)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat
Published: 2021-02-22
Author: Stephen Martin ORCID iD [aut, cre], Philippe Rast ORCID iD [aut]
Maintainer: Stephen Martin <stephenSRMMartin at gmail.com>
BugReports: https://github.com/stephenSRMMartin/MIRES/issues
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: MIRES results

Downloads:

Reference manual: MIRES.pdf
Package source: MIRES_0.1.0.tar.gz
Windows binaries: r-devel: MIRES_0.1.0.zip, r-release: MIRES_0.1.0.zip, r-oldrel: MIRES_0.1.0.zip
macOS binaries: r-release (arm64): MIRES_0.1.0.tgz, r-release (x86_64): MIRES_0.1.0.tgz, r-oldrel: MIRES_0.1.0.tgz

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