Very minor edits (address warning, fix badges, update docs and
site)
tidyLPA 2.0.0
Add support for OpenMx
tidyLPA 1.1.0
Minor edits to introduction to tidyLPA vignette and README
tidyLPA 1.0.9
Fix issue where single column DF when using package =
“MplusAutomation” would lead to duplicate NAMES = in Mplus syntax
tidyLPA 1.0.8
pass … to mclust correctly
update for v 4.0
tidyLPA 1.0.7
Update package start-up message
tidyLPA 1.0.6
Correction citation to refer to JOSS paper
tidyLPA 1.0.5
Add C. J. van Lissa as author on JOSS paper
Fix bug re. passing additional parameters to mplusObject()
Add function to calculate Lo-Mendell-Rubin LR test
Add plot_bivariate function
Set default for plot_profiles(add_line = FALSE), because the line
does not convey any meaningful information
Add curry_mac data
remove messages about depracated functions
tidyLPA 1.0.4
add data for paper
wrap mclust to handle errors better
tidyLPA 1.0.3
Fix bug when mclust model does not converge
improve get_data() so it returns data in long form
change message on load
change vignette titles
fix bug where single_imputation fails if there is no
missing data
added details to estimate_profiles() on what models
cannot be fit with mclust
added results of benchmarking as a new vignette
updated README with new updates
tidyLPA 1.0.1
Important bug fix for calculation of prob_min and prob_max for
Mclust
tidyLPA 1.0.0
major, breaking changes detailed in the vignette here
tidyLPA 0.2.4
minor bug fixes
last update before transitioning to development version presently at
https://github.com/cjvanlissa/tidyLPA
thank you to Qingyao Z. and @frigoli for correcting an error in the
vignette and to others who submitted issues/identified bugs
tidyLPA 0.2.3
update to plot_profiles_mplus()
add option to specify latent vars
add message/vignette for major changes to come
tidyLPA 0.2.2
patch minor issue with model specification
tidyLPA 0.2.1
minor changes and bug fixes
addition of new reference to JOSS paper
tidyLPA 0.2.0
Major breaking change:
change how models are specified; instead of using the model
argument, whether and how the variances are covariances are estimated
are passed the the variances and covariances argument; there are details
in the readme and vignette and if a model argument is passed to a
function, a message is returned describing how to specify the model
using the variances and covariances arguments
Major change:
change the compare_solutions_mplus() functions Mplus to still allow
for the specification of six models, but to use the same four as
compare_solutions() (which uses the mclust package, not MPlus) by
default
Minor changes:
improve NAMESPACE documentation
add option to return original data frame for functions that use
MPlus
add option to use missing data for functions that use MPlus
add tidylpa@googlegroups.com mailing list address to README as
preferred contact method
remove deprecated function (to extract key statistics from an MPlus
model)
make it so that a data frame with fit and other statistics is
returned by default from compare_solutions_mplus()
added new values to the statistics returned by
compare_solutions_mplus():
the cell size (the number of observations associated with each
profile)
the number of times the log-likelihood was replicated, based on the
number of optimization steps
Approximate Weight of Evidence (AWE) criterion
the number of parameters estimated
remove the messages about the software being in beta
how the Mplus syntax is generated was substantially
changed/improved; thanks @gbiele
Bug fixes:
change include_LMR argument to include VLMR
remove scale_fill_brewer(““, type =”qual”, palette = “Set3”) so that
solutions with larger numbers of profiles may be plotted
fix issue where lines longer than 90 characters (i.e., when there
are many variables) cause an error
tidyLPA 0.1.3
improve plot_profiles() plots, including plotting bootstrapped
standard when mclust output is directly used (thanks @cjvanlissa) &
updated vignette with example of this
improve output from compare_solutions_mplus (thanks @DJAnderson07)
add function, extract_LL_mplus(), to extract log-likelihoods from
models fit witsah estimate_profiles_mplus()
update documentation for pisaUSA15 dataset
improve compare_solutions_mplus() so it more reliably handles
errors
improve vignette (thanks @oreojo for suggestion to mention that this
package works best for continuous variables)
add URLs for package and bug reports to DESCRIPTION
add C.J. van Lissa and Daniel John Anderson as contributors
tidyLPA 0.1.2
Fix:
Specify version 0.7 of MplusAutomation in Imports to address
error
Minor updates:
Update README and Vignette
Update function names to include MPlus
Export %>% from magrittr (so it does not need to be loaded from
dplyr)
Correct name of title for vignette
Update function names
Change output of estimate_profiles_mplus() to be returned with
return(), instead of with invisible()
tidyLPA 0.1.1
Added a NEWS.md file to track changes to the
package.