NEWS

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MagmaClustR 1.2.1 (2024-06-28)

Major

Minor

• Fix issues when plotting in 2D mean process predictions

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

MagmaClustR 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()

MagmaClustR 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.

MagmaClustR 1.1.1 (2023-01-17)

Minor

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

MagmaClustR 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.

MagmaClustR 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

MagmaClustR 1.0.0 (2022-06-06)

Initial release