⚠️There's a newer version (0.5-6) of this package.Take me there.

semTools (version 0.5-0)

Useful Tools for Structural Equation Modeling

Description

Provides useful tools for structural equation modeling.

Copy Link

Version

Install

install.packages('semTools')

Monthly Downloads

14,750

Version

0.5-0

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/simsem/semTools/wiki

Maintainer

Terry Jorgensen

Last Published

June 27th, 2018

Functions in semTools (0.5-0)

plotRMSEAdist

Plot the sampling distributions of RMSEA

findRMSEAsamplesizenested

Find sample size given a power in nested model comparison

SSpower

Power for model parameters

Generate data via the Kaiser-Dickman (1962) algorithm.

kurtosis

Finding excessive kurtosis

htmt

Assessing Discriminant Validity using Heterotrait-Monotrait Ratio

findRMSEApowernested

Find power given a sample size in nested model comparison

dat2way

Simulated Dataset to Demonstrate Two-way Latent Interaction

dat3way

Simulated Dataset to Demonstrate Three-way Latent Interaction

fmi

Fraction of Missing Information.

plotProbe

Plot the graphs for probing latent interaction

loadingFromAlpha

Find standardized factor loading from coefficient alpha

maximalRelia

Calculate maximal reliability

mardiaSkew

Finding Mardia's multivariate skewness

permuteMeasEq

Permutation Randomization Tests of Measurement Equivalence and Differential Item Functioning (DIF)

lisrel2lavaan-deprecated

Translate LISREL syntax to lavaan model.syntax

moreFitIndices

Calculate more fit indices

monteCarloMed

Monte Carlo Confidence Intervals to Test Complex Indirect Effects

exLong

Simulated Data set to Demonstrate Longitudinal Measurement Invariance

lavTestScore.mi

Score Test for Multiple Imputations

orthRotate

Implement orthogonal or oblique rotation

permuteMeasEq-class

Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF

partialInvariance

Partial Measurement Invariance Testing Across Groups

lavaan.mi-class

Class for a lavaan Model Fitted to Multiple Imputations

measurementInvariance

Measurement Invariance Tests

poolMAlloc

Pooled estimates and standard errors across M parcel-allocations: Combining sampling variability and parcel-allocation variability.

plotRMSEApower

Plot power curves for RMSEA

measurementInvarianceCat

Measurement Invariance Tests for Categorical Items

compareFit

Build an object summarizing fit indices across multiple models

probe3WayMC

Probing two-way interaction on the no-centered or mean-centered latent interaction

Specify starting values from a lavaan output

runMI

Fit a lavaan Model to Multiple Imputed Data Sets

plotRMSEApowernested

Plot power of nested model RMSEA

probe3WayRC

Probing three-way interaction on the residual-centered latent interaction

splitSample

Randomly Split a Data Set into Halves

reliabilityL2

Calculate the reliability values of a second-order factor

residualCovariate

Residual-center all target indicators by covariates

indProd

Make products of indicators using no centering, mean centering, double-mean centering, or residual centering

tukeySEM

Tukey's WSD post-hoc test of means for unequal variance and sample size

standardizeMx-deprecated

Find standardized estimates for OpenMx output

longInvariance

Measurement Invariance Tests Within Person

lisrel2lavaan

Deprecated functions in package semTools.

reliability

Calculate reliability values of factors

mardiaKurtosis

Finding Mardia's multivariate kurtosis

net

Nesting and Equivalence Testing

probe2WayRC

Probing two-way interaction on the residual-centered latent interaction

probe2WayMC

Probing two-way interaction on the no-centered or mean-centered latent interaction

simParcel

Simulated Data set to Demonstrate Random Allocations of Parcels

mvrnonnorm

Generate Non-normal Data using Vale and Maurelli (1983) method

semTools

semTools: Useful Tools for Structural Equation Modeling

singleParamTest

Single Parameter Test Divided from Nested Model Comparison

twostage-class

Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data

twostage

Fit a lavaan model using 2-Stage Maximum Likelihood (TSML) estimation for missing data.

chisqSmallN

k-factor correction for \(chi^2\) test statistic

auxiliary

Implement Saturated Correlates with FIML

Net-class

Class For the Result of Nesting and Equivalence Testing

EFA-class

Class For Rotated Results from EFA

BootMiss-class

Class For the Results of Bollen-Stine Bootstrap with Incomplete Data

PAVranking

Parcel-Allocation Variability in Model Ranking

clipboard

Copy or save the result of lavaan or FitDiff objects into a clipboard or a file

efa.ekc

Empirical Kaiser criterion

combinequark

Combine the results from the quark function

FitDiff-class

Class For Representing A Template of Model Fit Comparisons

bsBootMiss

Bollen-Stine Bootstrap with the Existence of Missing Data

datCat

Simulated Data set to Demonstrate Categorical Measurement Invariance

findRMSEAsamplesize

Find the minimum sample size for a given statistical power based on population RMSEA

findRMSEApower

Find the statistical power based on population RMSEA

efaUnrotate

Analyze Unrotated Exploratory Factor Analysis Model

miPowerFit

Modification indices and their power approach for model fit evaluation

modindices.mi

Modification Indices for Multiple Imputations

nullRMSEA

Calculate the RMSEA of the null model

parcelAllocation

Random Allocation of Items to Parcels in a Structural Equation Model