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semTools (version 0.4-14)

Useful Tools for Structural Equation Modeling

Description

Provides useful tools for structural equation modeling packages.

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Install

install.packages('semTools')

Monthly Downloads

14,750

Version

0.4-14

License

GPL (>= 2)

Issues

6

Pull Requests

3

Stars

75

Forks

36

Maintainer

Terry Jorgensen

Last Published

October 22nd, 2016

Functions in semTools (0.4-14)

bsBootMiss

Bollen-Stine Bootstrap with the Existence of Missing Data
FitDiff-class

Class For Representing A Template of Model Fit Comparisons
exLong

Simulated Data set to Demonstrate Longitudinal Measurement Invariance
findRMSEAsamplesize

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

Find fit measures from an MxModel result
fmi

Fraction of Missing Information.
findRMSEApower

Find the statistical power based on population RMSEA
findRMSEApowernested

Find power given a sample size in nested model comparison
findRMSEAsamplesizenested

Find sample size given a power in nested model comparison
efaUnrotate

Analyze Unrotated Exploratory Factor Analysis Model
htmt

Assessing Discriminant Validity using Heterotrait-Monotrait Ratio
imposeStart

Specify starting values from a lavaan output
lavaanStar-class

Class For Representing A (Fitted) Latent Variable Model with Additional Elements
miPowerFit

Modification indices and their power approach for model fit evaluation
longInvariance

Measurement Invariance Tests Within Person
indProd

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

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

Measurement Invariance Tests for Categorical Items
lisrel2lavaan

Latent variable modeling in '>lavaan using LISREL syntax
measurementInvariance

Measurement Invariance Tests
loadingFromAlpha

Find standardized factor loading from coefficient alpha
Net-class

Class For the Result of Nesting and Equivalence Testing
nullMx

Analyzing data using a null model
permuteMeasEq-class

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

Partial Measurement Invariance Testing Across Groups
monteCarloMed

Monte Carlo Confidence Intervals to Test Complex Indirect Effects
mvrnonnorm

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

Plot the graphs for probing latent interaction
plotRMSEApower

Plot power curves for RMSEA
net

Nesting and Equivalence Testing
permuteMeasEq

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

Simulated Data set to Demonstrate Random Allocations of Parcels
runMI

Multiply impute and analyze data using lavaan
singleParamTest

Single Parameter Test Divided from Nested Model Comparison
rotate

Implement orthogonal or oblique rotation
saturateMx

Analyzing data using a saturate model
probe2WayRC

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

Residual centered all target indicators by covariates
plotRMSEApowernested

Plot power of nested model RMSEA
probe3WayRC

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

Quark
twostage-class

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

Find standardized estimates for OpenMx output
SSpower

Power for model parameters
twostage

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

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

Class For the Results of Bollen-Stine Bootstrap with Incomplete Data
dat3way

Simulated Dataset to Demonstrate Three-way Latent Interaction
EFA-class

Class For Rotated Results from EFA
combinequark

Combine the results from the quark function
datCat

Simulated Data set to Demonstrate Categorical Measurement Invariance
dat2way

Simulated Dataset to Demonstrate Two-way Latent Interaction
compareFit

Build an object summarizing fit indices across multiple models
auxiliary

Analyzing data with full-information maximum likelihood with auxiliary variables
PAVranking

Parcel-Allocation Variability in Model Ranking
chisqSmallN

k-factor correction for chi-squared test statistic
mardiaSkew

Finding Mardia's multivariate skewness
mardiaKurtosis

Finding Mardia's multivariate kurtosis
skew

Finding skewness
splitSample

Randomly Split a Data Set into Halves
moreFitIndices

Calculate more fit indices
maximalRelia

Calculate maximal reliability
reliability

Calculate reliability values of factors
kurtosis

Finding excessive kurtosis
parcelAllocation

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

Pooled estimates and standard errors across M parcel-allocations: Combining sampling variability and parcel-allocation variability.
probe2WayMC

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

Plot the sampling distributions of RMSEA
nullRMSEA

Calculate the RMSEA of the null model
reliabilityL2

Calculate the reliability values of a second-order factor
tukeySEM

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

Calculate multivariate Wald statistics
probe3WayMC

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