{antcolony.lavaan}
.
estimator = 'wls'
),
that will be respected.lavaan
error/warning messages more gracefully. These should continue into the
future for the SA and ACo methods without additional issues.lavaan
error/warning
messageslavaan.model.specs
show
(print), summary
,
and plot
method that provides revamped, concise information
about the algorithmA bug in the SA function that sometimes resulted in improper items has been fixed.
A bug in the Tabu short form function that caused the Tabu list to be erased if the best criterion value was reached has been fixed.
This version introduces classes to each of the main function
outputs (antcolony.lavaan
== “antcolony”,
simulatedAnnealing
== “simulatedAnnealing”,
tabuShortForm
== “tabu”)
This will allow for plot
and print
methods for each of these functions
antcolony_plot
was replaced with
plot.antcolony
(aka, a plot method)With the addition of classes, a plot method and accompanying documentation has been added.
Future updates will expand S3 methods for print()
and summary()
simulatedAnnealing()
.lavaan::cfa()
. However, there are plans for more user
control in the modeling process to allow for other model defaults.antcolony_lavaan()
function has been modified so
that it no longer will print a summaryfile.txt
. Rather, the
function maintains the old summary file as an internal object and
returns it after completion,antcolony_plot()
takes the results
from antcolony_lavaan()
and creates three graphs: (a) a
plot showing how pheremone levels change as the algorithm progresses,
(b) a plot showing how the mean value of the regression coefficients
changes as the algorithm progresses, and (c) a plot showing how the mean
variance explained changes as the algorithm progresses.antcolony.lavaan()
, simulatedAnnealing()
,
tabuShortForm()
) are capable of handling bifactor
models.bifactor
logical
option. No guarantee that an arbitrary model will work beyond those
currently tested.antcolony.lavaan()
function.tabu.sem()
and search.prep()
for
most of the heavy lifting and various helper and internal functions. The
code was taken primarily from Carl Falk and Katerina Marcoulides (see
Marcoulides, K. M., & Falk, C. F. (2018). Model Specification
Searches in Structural Equation Modeling with R. Structural Equation
Modeling: A Multidisciplinary Journal, 1-8.). These have been tested in
limited circumstances, so please report any bugs as you find them!