Automating Mplus Model Estimation and Interpretation


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Documentation for package ‘MplusAutomation’ version 0.7

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MplusAutomation-package Automating Mplus Model Estimation and Interpretation
cd Change directory
coef.mplus.model Return coefficients for an mplus.model object
coef.mplusObject Return coefficients for an mplus.model object
compareModels Compare the output of two Mplus models
confint.mplus.model Return confidence intervals for an mplus.model object
confint.mplusObject Return confidence intervals for an mplus.model object
createModels Create Mplus Input Files from Template
createSyntax Create the Mplus input text for an mplusObject
detectVariables Automatically detect variables from an Mplus model object
extract Extract function to make Mplus output work with the 'texreg' package
extract-method Extract function to make Mplus output work with the 'texreg' package
extract.mplus.model Extract function to make Mplus output work with the 'texreg' package
extract.mplusObject Extract function to make Mplus output work with the 'texreg' package
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
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
mplus.traceplot Plot the samples for each MCMC chain as a function of iterations
MplusAutomation Automating Mplus Model Estimation and Interpretation
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
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