Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean

Documentation for package ‘MagmaClustR’ version 1.1.2

data_allocate_cluster	Allocate training data into the most probable cluster
expand_grid_inputs	Expand a grid of inputs
hp	Generate random hyper-parameters
hyperposterior	Compute the hyper-posterior distribution in Magma
hyperposterior_clust	Compute the hyper-posterior distribution for each cluster in MagmaClust
MagmaClustR	MagmaClustR : Clustering and Prediction using Multi-Task Gaussian Processes
plot_db	Plot smoothed curves of raw data
plot_gif	Create a GIF of Magma or GP predictions
plot_gp	Plot Magma or GP predictions
plot_magmaclust	Plot MagmaClust predictions
pred_gif	Magma prediction for ploting GIFs
pred_gp	Gaussian Process prediction
pred_magma	Magma prediction
pred_magmaclust	MagmaClust prediction
proba_max_cluster	Indicates the most probable cluster
regularise_data	Regularise a grid of inputs in a dataset
regularize_data	Regularise a grid of inputs in a dataset
sample_gp	Display realisations from a posterior GP
select_nb_cluster	Select the optimal number of clusters
simu_db	Simulate a dataset tailored for MagmaClustR
swimmers	French swimmers performances data on 100m freestyle events
train_gp	Learning hyper-parameters of a Gaussian Process
train_gp_clust	Prediction in MagmaClust: learning new HPs and mixture probabilities
train_magma	Training Magma with an EM algorithm
train_magmaclust	Training MagmaClust with a Variational EM algorithm
weight	Weight follow-up data of children in Singapore