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semTools (version 0.5-1)

Useful Tools for Structural Equation Modeling

Description

Provides useful tools for structural equation modeling.

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Version

Install

install.packages('semTools')

Monthly Downloads

14,750

Version

0.5-1

License

GPL (>= 2)

Issues

6

Pull Requests

3

Stars

75

Forks

36

Maintainer

Terry Jorgensen

Last Published

September 24th, 2018

Functions in semTools (0.5-1)

SSpower

Power for model parameters
clipboard

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

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

Class for Representing a Measurement-Equivalence Model
dat3way

Simulated Dataset to Demonstrate Three-way Latent Interaction
datCat

Simulated Data set to Demonstrate Categorical Measurement Invariance
measEq.syntax

Syntax for measurement equivalence
indProd

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

Measurement Invariance Tests for Categorical Items
measurementInvariance-deprecated

Measurement Invariance Tests
combinequark

Combine the results from the quark function
longInvariance-deprecated

Measurement Invariance Tests Within Person
compareFit

Build an object summarizing fit indices across multiple models
efa.ekc

Empirical Kaiser criterion
mardiaKurtosis

Finding Mardia's multivariate kurtosis
miPowerFit

Modification indices and their power approach for model fit evaluation
modindices.mi

Modification Indices for Multiple Imputations
partialInvariance

Partial Measurement Invariance Testing Across Groups
plotRMSEApowernested

Plot power of nested model RMSEA
dat2way

Simulated Dataset to Demonstrate Two-way Latent Interaction
efaUnrotate

Analyze Unrotated Exploratory Factor Analysis Model
exLong

Simulated Data set to Demonstrate Longitudinal Measurement Invariance
findRMSEAsamplesizenested

Find sample size given a power in nested model comparison
kurtosis

Finding excessive kurtosis
permuteMeasEq-class

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

Find power given a sample size in nested model comparison
fmi

Fraction of Missing Information.
poolMAlloc

Pooled estimates and standard errors across M parcel-allocations: Combining sampling variability and parcel-allocation variability.
reliabilityL2

Calculate the reliability values of a second-order factor
mardiaSkew

Finding Mardia's multivariate skewness
residualCovariate

Residual-center all target indicators by covariates
findRMSEApower

Find the statistical power based on population RMSEA
maximalRelia

Calculate maximal reliability
findRMSEAsamplesize

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

Assessing Discriminant Validity using Heterotrait-Monotrait Ratio
semTools-deprecated

Deprecated functions in package semTools.
standardizeMx-deprecated

Find standardized estimates for OpenMx output
tukeySEM

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

Plot the sampling distributions of RMSEA
imposeStart

Specify starting values from a lavaan output
monteCarloMed

Monte Carlo Confidence Intervals to Test Complex Indirect Effects
lavTestScore.mi

Score Test for Multiple Imputations
semTools

semTools: Useful Tools for Structural Equation Modeling
plotRMSEApower

Plot power curves for RMSEA
lavTestWald.mi

Wald Test for Multiple Imputations
moreFitIndices

Calculate more fit indices
lavTestLRT.mi

Likelihood Ratio Test for Multiple Imputations
simParcel

Simulated Data set to Demonstrate Random Allocations of Parcels
mvrnonnorm

Generate Non-normal Data using Vale and Maurelli (1983) method
lavaan.mi-class

Class for a lavaan Model Fitted to Multiple Imputations
net

Nesting and Equivalence Testing
singleParamTest

Single Parameter Test Divided from Nested Model Comparison
quark

Quark
reliability

Calculate reliability values of factors
loadingFromAlpha

Find standardized factor loading from coefficient alpha
nullRMSEA

Calculate the RMSEA of the null model
probe2WayMC

Probing two-way interaction on the no-centered or mean-centered latent interaction
probe2WayRC

Probing two-way interaction on the residual-centered latent interaction
probe3WayMC

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

Class for the Results of 2-Stage Maximum Likelihood (TSML) Estimation for Missing Data
probe3WayRC

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

Random Allocation of Items to Parcels in a Structural Equation Model
plotProbe

Plot the graphs for probing latent interaction
twostage

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

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

Implement orthogonal or oblique rotation
runMI

Fit a lavaan Model to Multiple Imputed Data Sets
skew

Finding skewness
splitSample

Randomly Split a Data Set into Halves
Net-class

Class For the Result of Nesting and Equivalence Testing
auxiliary

Implement Saturated Correlates with FIML
FitDiff-class

Class For Representing A Template of Model Fit Comparisons
EFA-class

Class For Rotated Results from EFA
calculate.D2

Calculate the "D2" statistic
BootMiss-class

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

Bollen-Stine Bootstrap with the Existence of Missing Data
PAVranking

Parcel-Allocation Variability in Model Ranking
chisqSmallN

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