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Changelog

Source: NEWS.md

MagmaClustR (development version)

Major

Minor

MagmaClustR 1.2.1

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

CRAN release: 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 ‘’ 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

CRAN release: 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

CRAN release: 2023-01-17

Minor

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

MagmaClustR 1.1.0

CRAN release: 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

CRAN release: 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

CRAN release: 2022-06-06

Initial release