Description Details Author(s) References See Also

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using 'Mplus', a powerful latent variable modeling program developed by Muthen and Muthen (http://www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

The MplusAutomation package has four primary purposes:

To automatically run groups/batches of models.

To provide routines to extract model fit statistics, parameter estimates, and raw data from 'Mplus' output files.

To facilitate comparisons among models

To provide a template language that allows for the creation of related input files.

The core routine for running batches of models is `runModels`

, with
an easy-to-use GUI wrapper, `runModels_Interactive`

.

The core routine for extracting information from 'Mplus' outputs is `readModels`

, which
returns a list containing all output sections that the package can extract.

To extract summaries, parameters, modification indices, SAVEDATA output, and all other sections that the package
can understand, use the `readModels`

function. This is the recommended way to extract 'Mplus'
output with this package. If the `target`

argument to `readModels`

is a single .out file,
an `mplus.model`

(that is also a `list`

) will be returned containing all output sections that
the package can extract. If `target`

is a directory, a list of `mplus.model`

objects will be returned,
named according to the output filenames.

Note: `extractModelSummaries`

is deprecated and `readModels`

should be preferred.
To extract model summary statistics from one or more output files, see
`extractModelSummaries`

, which returns a `data.frame`

of
fit statistics for models located within a directory. Model fit results can
be summarized in tabular form (for comparing among models) using
`showSummaryTable`

(displays table in separate window),
`HTMLSummaryTable`

(creates HTML file containing summary table),
or `LatexSummaryTable`

(returns a LaTex-formatted table of
summary statistics).

Deprecated: To extract raw data created by the SAVEDATA command (e.g., class membership probabilities
or factor scores), see `getSavedata_Data`

.

Deprecated: To extract unstandardized or standardized parameter estimates from a single output file,
see `extractModelParameters`

.

Detailed model fit and parameter comparisons between two models can be obtained using
`compareModels`

.

To create a group of related models from a single template, see `createModels`

.
Please read the MplusAutomation vignette provided along with the package (and on the CRAN website)
in order to understand the template language: vignette("Vignette", package="MplusAutomation").

In addition to the major functions above, a function for converting an R data.frame
for use with 'Mplus' is provided: `prepareMplusData`

. This converts the
data.frame to a tab-delimited file and provides an 'Mplus' syntax stub for variable names.

Package: | MplusAutomation |

Type: | Package |

Version: | 0.7-3 |

Date: | 2018-11-19 |

License: | LGPL-3 |

LazyLoad: | yes |

Michael Hallquist [email protected], Joshua F. Wiley [email protected]

Maintainer: Michael Hallquist [email protected]

Mplus software. Muthen and Muthen. http://www.statmodel.com

See `runModels`

for an example running a model.

MplusAutomation documentation built on Nov. 25, 2018, 5:04 p.m.

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