Changes in version 1.2.1 (2024-06-28)                  

Major

  - Change the way prior means work in the MagmaClust framework. They
    are now optimised during Mstep using a closed-form optimum.

Minor

  - Fix the plot_gif() function to avoid saving multiple temporary png
    files
  - Add a minimal implementation of Laplace Matching for binary
    classification
  - Fix a bug when plotting in 2D mean process predictions
  - Fix a few bugs when using pred_*() functions with argument data =
    NULL
  - Simplify and improve visualisation with plot_db() and export it for
    users
  - Replace the deprecated aes_string function with modern syntax of aes
  - Fix the wrong definition of GPs mixtures by drawing a cluster
    instead of averaging
  - Fix a bug when using pred_magmaclust() with no data argument.

Major

  - Make 'get_full_cov = T' the default option when using
    pred_magmaclust()

Minor

  - Remove the useless messages when using samples=T in plotting
    functions
  - Create an error when users try train_magmaclust(nb_cluster = 1)
  - Make 'samples = T' the default plot when using prediction functions
  - Add mention of the 'hp()' function to the documentation
  - Fix Warning message when plotting clusters with exact same posterior
    probability
  - Display plots for the generic (no data provided) prediction that are
    condistent with classic ones
  - Disable the symmetry check when generating posterior samples for
    predictions

                 Changes in version 1.2.0 (2024-03-21)                  

Major

  - Add new functions sample_gp() and sample_magmaclust() to sample from
    the posterior predictions of GPs, Magma, and MagmaClust
  - Propose a new visualisation based on posterior samples instead of
    Credible Intervals for both plot_gp() and plot_magmaclust()
  - Allow pred_*() functions to be used without providing the 'data'
    argument by returning the mean processes (or priors) as generic
    predictions.

Minor

  - Add an option to generate multiple curves from sample_gp()
  - Fix a bug when the 'Reference' column is present when using
    plot_gp()
  - Fix the '\docType{package}' bug in roxygen2
  - Add 'plot_magma()' as a duplicated name for 'plot_gp()'
  - Remove the useless 'Reference' column in the prediction of the mean
    processes
  - Fix a bug when both 'pred' and 'samples' are provided in
    plot_samples()

                 Changes in version 1.1.2 (2023-05-23)                  

Minor

  - Fix a bug occurring in pred_magmaclust() for a 'trained_model' with
    hp_i=FALSE
  - Simplify the use of hyperposterior() and hyperposterior_clust() by
    providing a 'trained_model' argument.

                 Changes in version 1.1.1 (2023-01-17)                  

Minor

  - Fix an issue regarding deprecation of .data in 'tidyselect'
  - Fix a unit testing issue

                 Changes in version 1.1.0 (2022-11-01)                  

Major

  - Provide 4 vignettes explaining in detail how the different features
    of MagmaClustR work on practical examples.
  - Implement expand_grid_inputs() to help create customised
    n-dimensional input grids on which to evaluate the GP.
  - Implement regularize_data() to project a dataset on a specific input
    grid, (possibly to control the size of the resulting covariance
    matrices and the associated running time).
  - Add an internal 'Reference' column to datasets, to provide an
    adequate identifier for multidimensional inputs.
  - Implement a new version of simu_db() to generate more realistic 2-D
    datasets.

Minor

  - Round inputs to 6 significant digits to avoid numerical errors.
  - Generalise the creation of a grid in any dimension when
    'grid_inputs' is not specified in the prediction functions.

                 Changes in version 1.0.1 (2022-08-29)                  

Major

*Remove the package 'optimr' dependency and switch to base 'optim()'
function *Increase convergence tolerance in 'optim()', which was too
slow

Minor

*Fix the warnings about the absolute value function in the Cpp code
*Remove error message in 'train_magmaclust()' when common_hp_k = FALSE
*Change the default intervals for hyper-parameters in 'simu_db()'
*Automatically remove rows with missing data *Change position of the
'grid_inputs' argument in prediction functions *Remove the internal
functions from the index documentation *Fix 'ID' in hyperposterior() and
hyperposterior_clust() when not character

                 Changes in version 1.0.0 (2022-06-06)                  

Initial release