# semTools v0.5-2

Monthly downloads

## Useful Tools for Structural Equation Modeling

Provides useful tools for structural equation modeling.

## Readme

`semTools`

Useful tools for structural equation modeling.

This is an R package whose primary purpose is to extend the functionality of the R package `lavaan`

. There are several *suites* of tools in the package, which correspond to the same theme. To browse these suites, open the help page at the Console:

```
?semTools::`semTools-package`
```

Additional tools are available to do not require users to rely on any R packages for SEM (e.g., `lavaan`

, `OpenMx`

, or `sem`

), as long as their other software provides the information they need. Examples:

`monteCarloMed()`

to calculate Monte Carlo confidence intervals for functions of parameters, such as indirect effects in mediation models`calculate.D2()`

to pool*z*or chi-squared statistics across multiple imputations of missing data`indProd()`

for creating product indicators of latent interactions`SSpower()`

provides analytically derived power estimates for SEMs`tukeySEM()`

for Tukey's WSD post-hoc test of mean-differences under unequal variance and sample size`bsBootMiss()`

to transform incomplete data to be consistent with the null-hypothesized model, appropriate for model-based (a.k.a. "Bollen--Stine") boostrapping

All users of R (or SEM) are invited to submit functions or ideas for functions by contacting the maintainer, Terrence Jorgensen (TJorgensen314 at gmail dot com). Contributors are encouraged to use **Roxygen** comments to document their contributed code, which is consistent with the rest of `semTools`

. Read the vignette from the `roxygen2`

package for details:

```
vignette("rd", package = "roxygen2")
```

## Functions in semTools

Name | Description | |

EFA-class | Class For Rotated Results from EFA | |

SSpower | Power for model parameters | |

FitDiff-class | Class For Representing A Template of Model Fit Comparisons | |

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

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

Net-class | Class For the Result of Nesting and Equivalence Testing | |

calculate.D2 | Calculate the "D2" statistic | |

auxiliary | Implement Saturated Correlates with FIML | |

PAVranking | Parcel-Allocation Variability in Model Ranking | |

bsBootMiss | Bollen-Stine Bootstrap with the Existence of Missing Data | |

exLong | Simulated Data set to Demonstrate Longitudinal Measurement Invariance | |

efaUnrotate | Analyze Unrotated Exploratory Factor Analysis Model | |

imposeStart | Specify starting values from a lavaan output | |

efa.ekc | Empirical Kaiser criterion | |

htmt | Assessing Discriminant Validity using Heterotrait-Monotrait Ratio | |

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

kurtosis | Finding excessive kurtosis | |

lavTestLRT.mi | Likelihood Ratio Test for Multiple Imputations | |

datCat | Simulated Data set to Demonstrate Categorical Measurement Invariance | |

combinequark | Combine the results from the quark function | |

dat3way | Simulated Dataset to Demonstrate Three-way Latent Interaction | |

compareFit | Build an object summarizing fit indices across multiple models | |

findRMSEAsamplesizenested | Find sample size given a power in nested model comparison | |

fmi | Fraction of Missing Information. | |

dat2way | Simulated Dataset to Demonstrate Two-way Latent Interaction | |

findRMSEApower | Find the statistical power based on population RMSEA | |

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

findRMSEApowernested | Find power given a sample size in nested model comparison | |

loadingFromAlpha | Find standardized factor loading from coefficient alpha | |

lavaan.mi-class | Class for a lavaan Model Fitted to Multiple Imputations | |

maximalRelia | Calculate maximal reliability | |

mardiaSkew | Finding Mardia's multivariate skewness | |

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

nullRMSEA | Calculate the RMSEA of the null model | |

lavTestScore.mi | Score Test for Multiple Imputations | |

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

measurementInvariance-deprecated | Measurement Invariance Tests | |

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

lavTestWald.mi | Wald Test for Multiple Imputations | |

net | Nesting and Equivalence Testing | |

miPowerFit | Modification indices and their power approach for model fit evaluation | |

longInvariance-deprecated | Measurement Invariance Tests Within Person | |

modindices.mi | Modification Indices for Multiple Imputations | |

monteCarloMed | Monte Carlo Confidence Intervals to Test Complex Indirect Effects | |

mardiaKurtosis | Finding Mardia's multivariate kurtosis | |

moreFitIndices | Calculate more fit indices | |

measEq.syntax | Syntax for measurement equivalence | |

measEq.syntax-class | Class for Representing a Measurement-Equivalence Model | |

plotRMSEApower | Plot power curves for RMSEA | |

plotRMSEApowernested | Plot power of nested model RMSEA | |

partialInvariance | Partial Measurement Invariance Testing Across Groups | |

permuteMeasEq-class | Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF | |

measurementInvarianceCat-deprecated | Measurement Invariance Tests for Categorical Items | |

plotProbe | Plot a latent interaction | |

plotRMSEAdist | Plot the sampling distributions of RMSEA | |

plausibleValues | Plausible-Values Imputation of Factor Scores Estimated from a lavaan Model | |

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

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 | |

singleParamTest | Single Parameter Test Divided from Nested Model Comparison | |

skew | Finding skewness | |

orthRotate | Implement orthogonal or oblique rotation | |

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

residualCovariate | Residual-center all target indicators by covariates | |

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

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

reliability | Calculate reliability values of factors | |

probe2WayMC | Probing two-way interaction on the no-centered or mean-centered latent interaction | |

parcelAllocation | Random Allocation of Items to Parcels in a Structural Equation Model | |

semTools-deprecated | Deprecated functions in package semTools. | |

runMI | Fit a lavaan Model to Multiple Imputed Data Sets | |

probe3WayRC | Probing three-way interaction on the residual-centered latent interaction | |

splitSample | Randomly Split a Data Set into Halves | |

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

quark | Quark | |

reliabilityL2 | Calculate the reliability values of a second-order factor | |

semTools | semTools: Useful Tools for Structural Equation Modeling | |

simParcel | Simulated Data set to Demonstrate Random Allocations of Parcels | |

No Results! |

## Vignettes of semTools

Name | ||

partialInvariance.Rnw | ||

partialInvariance.bib | ||

No Results! |

## Last month downloads

## Details

License | GPL (>= 2) |

LazyData | yes |

LazyLoad | yes |

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

BugReports | https://github.com/simsem/semTools/issues |

Date/Publication | 2019-08-30 09:50:02 UTC |

RoxygenNote | 6.1.1 |

NeedsCompilation | no |

Packaged | 2019-08-30 09:12:31 UTC; terrence |

Repository | CRAN |

suggests | Amelia , blavaan , boot , foreign , GPArotation , MASS , mice , mnormt , parallel |

depends | graphics , lavaan (>= 0.6-5) , R (>= 3.4) , stats , utils |

imports | methods |

Contributors | Alexander Robitzsch, Sunthud Pornprasertmanit, Patrick Miller, Alexander Schoemann, Corbin Quick, James Selig, Aaron Boulton, Kristopher Preacher, Donna Coffman, Craig Enders, Ruber Arslan, Bell Clinton, Pavel Panko, Jarrett Byrnes, Steven Chesnut, Jason Rights, Yves Rosseel, Edgar Merkle, Ylenio Longo, Mauricio Garnier-Villarreal, Mijke Rhemtulla, Maxwell Mansolf |

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