Package index • MplusAutomation

All functions

HTMLSummaryTable(): Create an HTML file containing a summary table of Mplus model statistics

LatexSummaryTable(): Display summary table of Mplus model statistics in separate window

MplusAutomation: Automating Mplus Model Estimation and Interpretation

SummaryTable(): Create a summary table of Mplus model statistics

cd(): Change directory

checkSubmission(): check on the status of submitted Mplus jobs on the cluster

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

.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

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

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

mplusAvailable(): Check whether Mplus can be found

mplusGLM(): Function to fit GLMs in Mplus

mplusModel(): Create an mplusModel object for a given model

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

submitModels(): Submit Mplus models to a high-performance cluster scheduler

summary(<mplusObject>): Summarize an mplusObject

summary(<mplus_submission_df>): summary function for submission from submitModels

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