Terrence edited this page Sep 25, 2018 · 72 revisions

semTools: Useful tools for structural equation modeling

The goal of this package is to collect useful functions for structural equation modeling in a single, easily accessible place. Everyone is invited to send functions to us and we will maintain the functions for you. Click here for the list of all current functionality of this package and the near future development.

Announcement

[25 September 2018] Latest Update: semTools, Version 0.5-1

Version 0.5-1 of semTools has been released on CRAN, which requires at least lavaan version 0.6-3. In addition to fixing some bugs, the major changes in this version include:

  • The formerly deprecated lisrel2lavaan() function has been removed from semTools
  • the compareFit() function now accepts lavaan.mi objects returned by runMI()
  • For lavaan.mi objects returned by runMI(), the anova() method has been updated to behave more like lavaan's anova() method:
    • more than 2 nested models can be compared
    • fit indices are no longer an option, and must be requested using the fitMeasures() method
  • Given the previous addition of score-test functions modIndices.mi() and lavTestScore.mi() for lavaan.mi objects (parallel to modIndices() and lavTestScore() for lavaan objects), the remaining "trilogy" of tests in lavaan (lavTestLRT() and lavTestWald()) now have parallel functions for lavaan.mi objects: lavTestLRT.mi() and lavTestWald.mi()
    • lavTestWald.mi() implements what was formerly available in using anova(..., test = "D1")
    • lavTestLRT.mi() implements what was formerly available in using anova(..., test = "D3")
    • lavTestLRT.mi() cannot compare more than 2 nested models. The anova() method internally calls the compareFit() function to compare multiple lavaan.mi objects.
    • For all 3 tests (score, Wald, and LRT), the "D2" pooling method is an option, and there is a newly public function calculate.D2() that can be used to pool any set of Wald chi-squared or z statistics.
  • The runMI() function can now be applied to multilevel SEMs that can be fitted with lavaan()
    • Known issue (#39): fitted() and resid() methods will not yet work in models with both multiple levels and multiple groups. This will be resolved in a future version.
  • The 3 functions measurementInvariance(), measurementInvarianceCat(), and longInvariance() have been deprecated, redirecting users to the new measEq.syntax() function. It is much more general, capable of combining features of all 3 deprecated functions without their restrictions.
    • The function's primary purpose is writing syntax that users can read and edit.
    • The fitting of a model is optional, and fitting multiple models is not (yet) automated. See the ?measEq.syntax help-page examples for how to fit and compare several levels of invariance.
    • Find many more details posted on the lavaan forum (the Google group).

[1 July 2018] Latest Update: semTools, Version 0.5-0

Version 0.5-0 of semTools has been released on CRAN, which assimilates lavaan's most recent internal changes (therefore requiring at least lavaan version 0.6-1), adds some minor features to a few existing functions, and fixes some bugs.

The biggest change in this version is the re-design of the runMI() function, which no longer produces an object of class lavaanStar (that object class is no longer supported), which inherited from class lavaan. It now produces an object of class lavaan.mi, which inherits from lavaan's new lavaanList class (see the ?lavaanList help page for details). The reasons to redesign runMI() include:

  • The user was required to choose among available methods for pooling the chi-squared test statistic when fitting the model, and the baseline model was also fit so that incremental fit indices (e.g., CFI and TLI) could be calculated. This lead to more frequent convergence problems.
  • The lavaanStar class could inadvertently mislead users into thinking that certain results were available from multiple imputations that were not. For example, the modindices() function would return modification indices for the first imputation, but those were not appropriately pooled statistics.

The new runMI() no longer includes the chi= argument, because those options have been moved to an anova() method written for lavaan.mi objects. Additional methods have been written: see the class?lavaan.mi help page for a list of methods and details about their use. Additionally, appropriately pooled modification indices and (S)EPCs are now available for multiple imputations (via modindices.mi()), as well as a general score test via lavTestScore.mi().

The parcelAllocation() has also been redesigned with new arguments to improve its flexibility and ease of use. Users are now required to provide lavaan syntax not only for the parcel-level model, but also for the item-level model. This allows parcel allocation to be automatically detected, no longer requiring users to provide a list of item-to-parcel assignments (see new examples on the help page).

The OpenMx enhancements in previous versions of semTools are obsolete now that OpenMx provides fit indices and standardized paths, so they have been removed. However, standardizeMx() is still available (temporarily deprecated) to provide standardized mean-structure parameters, until the OpenMx maintainers add that feature to OpenMx::mxStandardizeRAMpaths().

measurementInvariance() and measurementInvarianceCat() now require users to name all arguments passed to cfa(), including the first argument: model=. This is to prevent errors that occurred when some previous users had passed arguments in a different order than expected, which should not be a limitation.

Please report any issues on the lavaan Google forum or on the GitHub issues site: https://github.com/simsem/semTools/issues

Developers

Everyone is invited to be a developer! Here is the list of current developers and contributors.

Maintainers

Terrence D. Jorgensen (primary maintainer)

Sunthud Pornprasertmanit (past maintainer)

Patrick Miller

[Alexander Schoemann] (https://sites.google.com/site/alexandermschoemann/home)

Program

The project is still under development. The package can be installed by copying this line into the R program:

install.packages("semTools")

If you are interested in the source code, please click the code tab. You may install the latest development version using the devtools package:

`devtools::install_github("simsem/semTools/semTools")`

Note that latestVersion is the appropriate number of the latest version. For example, "semTools_0.4-14.tar.gz" is used.

Please report any bugs or send any suggestions (e.g., feature requests) on the Issues page.

Citations

The maintainer and primary contributors to this package are listed as authors, but this package is a collaborative work. The maintainer(s) cannot take credit for others' contributions. Whenever possible, please cite the paper(s) associated with the development of a particular function (e.g., permuteMeasEq or parcelAllocation), listed in the References section of its associated help page. Otherwise, please use the following citation for the package as a whole:

Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2018). semTools: Useful tools for structural equation modeling. R package version 0.5-1. Retrieved from https://CRAN.R-project.org/package=semTools

Materials

Version History

Acknowledgement

The development of semTools was initially supported by the University of Kansas Center for Research Methods and Data Analysis.

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