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
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
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.
MagmaClustR 1.0.1
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