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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.