Man pages for simsem
SIMulated Structural Equation Modeling

analyzeData analysis using the model specification
anovaProvide a comparison of nested models and nonnested models...
bindSpecify matrices for Monte Carlo simulation of structural...
bindDistCreate a data distribution object.
coefExtract parameter estimates from a simulation result
combineSimCombine result objects
continuousCoverageFind coverage rate of model parameters when simulations have...
continuousPowerFind power of model parameters when simulations have randomly...
createDataCreate data from a set of drawn parameters.
drawDraw parameters from a 'SimSem' object.
estmodelShortcut for data analysis template for simulation.
exportDataExport data sets for analysis with outside SEM program.
findCoverageFind a value of independent variables that provides a given...
findFactorInterceptFind factor intercept from regression coefficient matrix and...
findFactorMeanFind factor total means from regression coefficient matrix...
findFactorResidualVarFind factor residual variances from regression coefficient...
findFactorTotalCovFind factor total covariance from regression coefficient...
findFactorTotalVarFind factor total variances from regression coefficient...
findIndInterceptFind indicator intercepts from factor loading matrix, total...
findIndMeanFind indicator total means from factor loading matrix, total...
findIndResidualVarFind indicator residual variances from factor loading matrix,...
findIndTotalVarFind indicator total variances from factor loading matrix,...
findPossibleFactorCorFind the appropriate position for freely estimated...
findPowerFind a value of independent variables that provides a given...
findRecursiveSetGroup variables regarding the position in mediation chain
generateGenerate data using SimSem template
getCIwidthFind confidence interval width
getCoverageFind coverage rate of model parameters
getCutoffFind fit indices cutoff given a priori alpha level
getCutoffNestedFind fit indices cutoff for nested model comparison given a...
getCutoffNonNestedFind fit indices cutoff for non-nested model comparison given...
getExtraOutputGet extra outputs from the result of simulation
getPopulationExtract the data generation population model underlying a...
getPowerFind power of model parameters
getPowerFitFind power in rejecting alternative models based on fit...
getPowerFitNestedFind power in rejecting nested models based on the...
getPowerFitNonNestedFind power in rejecting non-nested models based on the...
imposeMissingImpose MAR, MCAR, planned missingness, or attrition on a data...
inspectExtract information from a simulation result
likRatioFitFind the likelihood ratio (or Bayes factor) based on the...
missSpecifying the missing template to impose on a dataset
modelData generation template and analysis template for...
modelLavaanBuild the data generation template and analysis template from...
multipleAllEqualTest whether all objects are equal
plotCIwidthPlot a confidence interval width of a target parameter
plotCoverageMake a plot of confidence interval coverage rates
plotCutoffPlot sampling distributions of fit indices with fit indices...
plotCutoffNestedPlot sampling distributions of the differences in fit indices...
plotCutoffNonNestedPlot sampling distributions of the differences in fit indices...
plotDistPlot a distribution of a data distribution object
plotLogitMissVisualize the missing proportion when the logistic regression...
plotMisfitPlot the population misfit in the result object
plotPowerMake a power plot of a parameter given varying parameters
plotPowerFitPlot sampling distributions of fit indices that visualize...
plotPowerFitNestedPlot power of rejecting a nested model in a nested model...
plotPowerFitNonNestedPlot power of rejecting a non-nested model based on a...
popDiscrepancyFind the discrepancy value between two means and covariance...
popMisfitMACSFind population misfit by sufficient statistics
pValueFind p-values (1 - percentile) by comparing a single analysis...
pValueNestedFind p-values (1 - percentile) for a nested model comparison
pValueNonNestedFind p-values (1 - percentile) for a non-nested model...
rawDrawDraw values from vector or matrix objects
setPopulationSet the data generation population model underlying an object
simRun a monte carlo simulation with a structural equation...
SimDataDist-classClass '"SimDataDist"': Data distribution object
SimMatrix-classMatrix object: Random parameters matrix
SimMissing-classClass '"SimMissing"'
SimResult-classClass '"SimResult"': Simulation Result Object
SimSem-classClass '"SimSem"'
SimVector-classVector object: Random parameters vector
summaryConvergeProvide a comparison between the characteristics of...
summaryFitProvide summary of model fit across replications
summaryMisspecProvide summary of the population misfit and...
summaryParamProvide summary of parameter estimates and standard error...
summaryPopulationSummarize the population model used for data generation...
summarySeedSummary of a seed number
summaryShortProvide short summary of an object.
summaryTimeTime summary
simsem documentation built on May 29, 2017, 10:40 a.m.