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simsem (version 0.5-17)

SIMulated Structural Equation Modeling

Description

Provides an easy framework for Monte Carlo simulation in structural equation modeling, which can be used for various purposes, such as such as model fit evaluation, power analysis, or missing data handling and planning.

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Version

Install

install.packages('simsem')

Monthly Downloads

847

Version

0.5-17

License

GPL (>= 2)

Maintainer

Terry Jorgensen

Last Published

April 2nd, 2025

Functions in simsem (0.5-17)

SimSem-class

Class "SimSem"
SimVector-class

Vector object: Random parameters vector
SimDataDist-class

Class "SimDataDist": Data distribution object
analyze

Data analysis using the model specification
continuousCoverage

Find coverage rate of model parameters when simulations have randomly varying parameters
anova

Provide a comparison of nested models and nonnested models across replications
bindDist

Create a data distribution object.
SimMatrix-class

Matrix object: Random parameters matrix
coef

Extract parameter estimates from a simulation result
continuousPower

Find power of model parameters when simulations have randomly varying parameters
getCutoff

Find fit indices cutoff given a priori alpha level
estmodel

Shortcut for data analysis template for simulation.
findCoverage

Find a value of independent variables that provides a given value of coverage rate
combineSim

Combine result objects
findIndResidualVar

Find indicator residual variances from factor loading matrix, total factor covariance, and total indicator variances.
findIndTotalVar

Find indicator total variances from factor loading matrix, total factor covariance, and indicator residual variances.
exportData

Export data sets for analysis with outside SEM program.
findFactorIntercept

Find factor intercept from regression coefficient matrix and factor total means
SimResult-class

Class "SimResult": Simulation Result Object
getCutoffNonNested

Find fit indices cutoff for non-nested model comparison given a priori alpha level
createData

Create data from a set of drawn parameters.
getExtraOutput

Get extra outputs from the result of simulation
getCutoffNested

Find fit indices cutoff for nested model comparison given a priori alpha level
getPowerFitNonNested

Find power in rejecting non-nested models based on the differences in fit indices
draw

Draw parameters from a SimSem object.
plotDist

Plot a distribution of a data distribution object
imposeMissing

Impose MAR, MCAR, planned missingness, or attrition on a data set
findFactorMean

Find factor total means from regression coefficient matrix and factor intercept
findFactorTotalCov

Find factor total covariance from regression coefficient matrix, factor residual covariance
findIndIntercept

Find indicator intercepts from factor loading matrix, total factor mean, and indicator mean.
findIndMean

Find indicator total means from factor loading matrix, total factor mean, and indicator intercept.
findFactorTotalVar

Find factor total variances from regression coefficient matrix, factor (residual) correlations, and factor residual variances
findFactorResidualVar

Find factor residual variances from regression coefficient matrix, factor (residual) correlations, and total factor variances
plotLogitMiss

Visualize the missing proportion when the logistic regression method is used.
plotMisfit

Plot the population misfit in the result object
plotPower

Make a power plot of a parameter given varying parameters
pValueNonNested

Find p-values (1 - percentile) for a non-nested model comparison
inspect

Extract information from a simulation result
getCIwidth

Find confidence interval width
getPopulation

Extract the data generation population model underlying a result object
getCoverage

Find coverage rate of model parameters
findPossibleFactorCor

Find the appropriate position for freely estimated correlation (or covariance) given a regression coefficient matrix
getPower

Find power of model parameters
getPowerFit

Find power in rejecting alternative models based on fit indices criteria
pValue

Find p-values (1 - percentile) by comparing a single analysis output from the result object
likRatioFit

Find the likelihood ratio (or Bayes factor) based on the bivariate distribution of fit indices
summaryPopulation

Summarize the population model used for data generation underlying a result object
findPower

Find a value of independent variables that provides a given value of power.
summarySeed

Summary of a seed number
getPowerFitNested

Find power in rejecting nested models based on the differences in fit indices
pValueNested

Find p-values (1 - percentile) for a nested model comparison
plotCIwidth

Plot a confidence interval width of a target parameter
plotCutoffNested

Plot sampling distributions of the differences in fit indices between nested models with fit indices cutoffs
setPopulation

Set the data generation population model underlying an object
summaryConverge

Provide a comparison between the characteristics of convergent replications and nonconvergent replications
plotCutoffNonNested

Plot sampling distributions of the differences in fit indices between non-nested models with fit indices cutoffs
miss

Specifying the missing template to impose on a dataset
sim

Run a Monte Carlo simulation with a structural equation model.
model

Data generation template and analysis template for simulation.
plotPowerFit

Plot sampling distributions of fit indices that visualize power of rejecting datasets underlying misspecified models
plotCoverage

Make a plot of confidence interval coverage rates
plotPowerFitNested

Plot power of rejecting a nested model in a nested model comparison by each fit index
summaryMisspec

Provide summary of the population misfit and misspecified-parameter values across replications
summaryFit

Provide summary of model fit across replications
summaryParam

Provide summary of parameter estimates and standard error across replications
summaryShort

Provide short summary of an object.
findRecursiveSet

Group variables regarding the position in mediation chain
generate

Generate data using SimSem template
plotCutoff

Plot sampling distributions of fit indices with fit indices cutoffs
summaryTime

Time summary
model.lavaan

Build the data generation template and analysis template from the lavaan result
multipleAllEqual

Test whether all objects are equal
popMisfitMACS

Find population misfit by sufficient statistics
rawDraw

Draw values from vector or matrix objects
popDiscrepancy

Find the discrepancy value between two means and covariance matrices
plotPowerFitNonNested

Plot power of rejecting a non-nested model based on a difference in fit index
SimMissing-class

Class "SimMissing"
bind

Specify matrices for Monte Carlo simulation of structural equation models