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()

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.

MagmaClustR 1.1.1

Minor

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

MagmaClustR 1.1.0

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.

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

Initial release