Function reference • MplusAutomation

All functions
`cd()`	Change directory
`coef(<mplus.model>)` `coef(<mplusObject>)`	Return coefficients for an mplus.model object
`compareModels()`	Compare the output of two Mplus models
`confint(<mplus.model>)` `confint(<mplusObject>)`	Return confidence intervals for an mplus.model object
`createMixtures()`	Create syntax for a batch of mixture models
`createModels()`	Create Mplus Input Files from Template
`createSyntax()`	Create the Mplus input text for an mplusObject
`detectMplus()`	Detect the location/name of the Mplus command
`detectVariables()`	Automatically detect variables from an Mplus model object
`.mplusMultinomial()`	Internal Function for Multinomial Regression in Mplus
`extract.mplus.model()` `extract.mplusObject()` `extract(<mplus.model>)` `extract(<mplusObject>)`	Extract function to make Mplus output work with the texreg package
`extractEFAparameters()`	Extract the model parameters from an EFA Mplus model output
`extractModelParameters()`	Extract model parameters from MODEL RESULTS section.
`extractModelSummaries()`	Extract summary statistics from a single output file or from a group of Mplus models within a directory
`extractModIndices()`	Extract model modification indices.
`getSavedata_Bparams()`	Load the draws from the Bayesian model posterior distribution (SAVEDATA BPARAMETERS) command into an R data.frame
`getSavedata_Data()`	Load an analysis dataset from the SAVEDATA command into an R data.frame
`getSavedata_Fileinfo()`	Read Variable Names, Formats, and Widths from data generated by the SAVEDATA Command
`get_results()` `get_input()` `get_warn_err()` `get_data_summary()` `get_sampstat()` `get_covariance_coverage()` `get_summaries()` `get_invariance_testing()` `get_parameters()` `get_class_counts()` `get_indirect()` `get_mod_indices()` `get_residuals()` `get_savedata()` `get_bparameters()` `get_tech1()` `get_tech3()` `get_tech4()` `get_tech7()` `get_tech8()` `get_tech9()` `get_tech10()` `get_tech12()` `get_tech15()` `get_fac_score_stats()` `get_lcCondMeans()` `get_gh5()`	Extract Mplus results
`HTMLSummaryTable()`	Create an HTML file containing a summary table of Mplus model statistics
`LatexSummaryTable()`	Display summary table of Mplus model statistics in separate window
`lcademo`	Latent Class Analysis Demonstration
`long2LGMM()`	Long data to wide latent growth mixture model
`lookupTech1Parameter()`	Lookup the matrix element for a give parameter number
`mixtureSummaryTable()`	Create a summary table of Mplus mixture models
`mplus.traceplot()`	Plot the samples for each MCMC chain as a function of iterations
`MplusAutomation`	Automating Mplus Model Estimation and Interpretation
`mplusAvailable()`	Check whether Mplus can be found
`mplusGLM()`	Function to fit GLMs in Mplus
`mplusModeler()`	Create, run, and read Mplus models.
`mplusObject()`	Create an Mplus model object
`mplusRcov()`	Create Mplus code for various residual covariance structures.
`paramExtract()`	Extract parameters from a data frame of Mplus estimates
`parseCatOutput()`	Parse Categorical Output
`parseMplus()`	Check Mplus code for missing semicolons or too long lines.
`plot(<mplusObject>)`	Plot coefficients for an mplusObject
`plotMixtureDensities()`	Create density plots for mixture models
`plotMixtures()`	Create latent profile plots
`prepareMplusData()`	Create tab-delimited file and Mplus input syntax from R data.frame
`print(<MplusRstructure>)`	Print an Mplus Residual Structure object
`readModels()`	Read Parameters, Summary Statistics, and Savedata from Mplus Output
`runModels()`	Run Mplus Models
`runModels_Interactive()`	Run Mplus Models Using Graphical Interface
`separateHyphens()`	Separate Hyphenated Variable Strings
`showSummaryTable()`	Display summary table of Mplus model statistics in separate window
`summary(<mplusObject>)`	Summarize an mplusObject
`SummaryTable()`	Create a summary table of Mplus model statistics
`testBParamCompoundConstraint()`	Test inequality-constrained hypothesis for two or more parameters based on iterations of MCMC chains
`testBParamConstraint()`	Test inequality-constrained hypothesis for two parameters based on iterations of MCMC chains
`trainLGMM()`	Train a variety of latent growth mixture model
`update(<mplusObject>)`	Update an Mplus model object

Reference

All functions