mixtureSummaryTable {MplusAutomation} | R Documentation |
Create a summary table of Mplus mixture models
Description
Creates a summary table of model fit statistics and relevant diagnostic
information for a list of mixture models. Default statistics reported are in
line with published guidelines (see Jung & Wickrama, 2008; Nylund et al.,
2007): c("Title", "Classes", "Warnings", "AIC", "BIC", "aBIC",
"Entropy", "T11_VLMR_PValue", "T11_LMR_PValue", "BLRT_PValue", "min_N",
"max_N", "min_prob", "max_prob")
. The table is customizable using the
keepCols
parameter, which is passed through to SummaryTable.
Usage
mixtureSummaryTable(
modelList,
keepCols = c("Title", "Classes", "Warnings", "AIC", "BIC", "aBIC", "Entropy",
"T11_VLMR_PValue", "T11_LMR_PValue", "BLRT_PValue", "min_N", "max_N", "min_prob",
"max_prob"),
sortBy = NULL,
...
)
Arguments
modelList |
A list of models returned from the
|
keepCols |
A vector of character strings indicating which
columns/variables to display in the summary. Only columns included in this
list will be displayed (all others excluded). By default, |
sortBy |
Field name (as character string) by which to sort the table. Typically an information criterion (e.g., "AIC" or "BIC") is used to sort the table. Defaults to "AICC". Set to NULL by default, so the table is ordered by increasing number of classes. |
... |
Arguments passed to |
Value
An object of class data.frame.
Note
This function is partially a wrapper around SummaryTable, with enhancements for summarizing mixture models.
Author(s)
Caspar J. van Lissa
See Also
Examples
## Not run:
res <- createMixtures(classes = 1:2, filename_stem = "iris", rdata = iris,
OUTPUT = "tech11 tech14;",
run = 1L)
mixtureSummaryTable(res)
## End(Not run)