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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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Install
install.packages('semTools')
Monthly Downloads
13,235
Version
0.5-1
License
GPL (>= 2)
Issues
8
Pull Requests
3
Stars
72
Forks
35
Repository
https://github.com/simsem/semTools/wiki
Maintainer
Terry Jorgensen
Last Published
September 24th, 2018
Functions in semTools (0.5-1)
Search functions
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