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MIRES

Measurement Invariance Assessment Using Random Effects Models and Shrinkage

v0.1.1 · May 4, 2025 · MIT + file LICENSE

Description

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>.

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NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespaces in Imports field not imported from:
  ‘pracma’ ‘rstantools’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespaces in Imports field not imported from:
  ‘pracma’ ‘rstantools’
  All declared Imports should be used.
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 164.7Mb
  sub-directories of 1Mb or more:
    libs  164.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 169.1Mb
  sub-directories of 1Mb or more:
    libs  168.5Mb
NOTE r-oldrel-windows-x86_64

installed package size

  installed size is  7.6Mb
  sub-directories of 1Mb or more:
    libs   6.9Mb

Dependency Network

Dependencies Reverse dependencies Rcpp rstan rstantools (>= 2.0.0) Formula parallel (>= 3.4.0) mvtnorm dirichletprocess truncnorm pracma cubature logspline nlme HDInterval MIRES

Version History

new 0.1.1 Mar 9, 2026