Package index • MIE

Get distances in terms of measurement invariance

The main functions here are getMetrics() and plotDistances(), the others are referred to internally.

getMetrics(): Computes various metrics of measurement invariance distances

plotDistances(): Plot distances using computed metrics of distance

computeCorrelation(): Computes and formats Fisher's transformed correlation matrices

computeCovariance(): Computes and formats covariance matrices

incrementalFit(): Run pairwise models and compute decrease in fit

mgcfaParameters(): Computes MGCFA models for all available groups in the data

pairwiseFit(): Computes MGCFA model for a given pair of groups

run function run Mplus, extract functions extract parts of Mplus output files.

runMImplus(): Runs exact invariance tests in Mplus

runAlignment(): Run alignment procedure using Mplus

runAlignmentSim(): Creates Mplus code for alignment simulations and optionally runs it and returns its summaries back to R.

extractMImplus(): Extract Mplus measurement invariance output

extractAlignment(): Extracts summaries from Mplus alignment output file

extractAlignmentSim(): Extracts summaries of alignment simulations from Mplus output file

extractBayesDiff(): Extracts summaries from Mplus Bayesian approximate invariance output file

extractAlfDiff(): Extracts DIFF alignment results from Mplus output string

Automates common tasks in lavaan-based MI analyses. Also facilitates stratified MI and groupwise CFAs

globalMI(): Conventional test of measurement invariance in three steps

globalMIH(): Test for measurement invariance for Higher-Order Factor models

groupwiseCFA(): Run the same cfa within every group and extract fit indices

summary(<groupwiseCFA>) gsumCFA(): Summarize a list of CFAs produced by lavaan

stratifiedMI(): Run clustered measurement invariance tests

MIE Shiny app

runMIE(): Run Shiny MIE application

Convenience functions

lavTestScore_clean(): Get more comprehensible output from lavTestScore

nInvariant(): Get the number of groups which show invariance with each of the groups

mgcfaDiagnose(): Quick diagnostics for multiple-group lavaan models