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.