Package: MIRES 0.1.0
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>.
Authors:
MIRES_0.1.0.tar.gz
MIRES_0.1.0.zip(r-4.5)MIRES_0.1.0.zip(r-4.4)MIRES_0.1.0.zip(r-4.3)
MIRES_0.1.0.tgz(r-4.4-arm64)MIRES_0.1.0.tgz(r-4.4-x86_64)MIRES_0.1.0.tgz(r-4.3-arm64)MIRES_0.1.0.tgz(r-4.3-x86_64)
MIRES_0.1.0.tar.gz(r-4.5-noble)MIRES_0.1.0.tar.gz(r-4.4-noble)
MIRES.pdf |MIRES.html✨
MIRES/json (API)
NEWS
| # Install 'MIRES' in R: |
| install.packages('MIRES', repos = c('https://stephensrmmartin.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stephensrmmartin/mires/issues
- sim_all - Simulated data: All parameters vary
- sim_intercepts - Simulated data: Intercepts vary
- sim_items - Simulated data: Half the items are non-invariant.
- sim_loadings - Simulated data: Loadings vary
- sim_none - Simulated data: No variance
- sim_resid - Simulated data: Residual variances vary
bayesianmeasurement-invariancemixed-effectspsychometricsstanstatistics
Last updated 4 years agofrom:9e13c0ffe1. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 27 2024 |
| R-4.5-win-x86_64 | NOTE | Aug 27 2024 |
| R-4.5-linux-x86_64 | NOTE | Aug 27 2024 |
| R-4.4-win-x86_64 | NOTE | Aug 27 2024 |
| R-4.4-mac-aarch64 | NOTE | Aug 27 2024 |
| R-4.4-mac-x86_64 | NOTE | Jul 28 2024 |
| R-4.3-win-x86_64 | NOTE | Aug 27 2024 |
| R-4.3-mac-aarch64 | NOTE | Aug 27 2024 |
| R-4.3-mac-x86_64 | NOTE | Jul 28 2024 |
Dependencies:abindbackportsBHcallrcheckmateclicolorspacecubaturedescdirichletprocessdistributionalfansifarverFormulagenericsggplot2gluegridExtragtablegtoolsHDIntervalinlineisobandlabelinglatticelifecyclelogsplineloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigposteriorpracmaprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbletruncnormutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'MIRES' package. | MIRES-package MIRES |
| Fit mixed effects measurement model for invariance assessment. | mires |
| Pairwise comparisons of random parameters. | pairwise |
| Print function for mires objects. | print.mires |
| Print method for MIRES summary objects. | print.summary.mires |
| Extract random effects of each group from MIRES model. | ranef ranef.mires |
| Simulated data: All parameters vary (Full non-invariance) | sim_all |
| Simulated data: Intercepts vary | sim_intercepts |
| Simulated data: Half the items are non-invariant. | sim_items |
| Simulated data: Loadings vary | sim_loadings |
| Simulated data: No variance (Full invariance) | sim_none |
| Simulated data: Residual variances vary | sim_resid |
| Summary method for mires object. | summary.mires |
