Function reference • MagmaClustR

All functions

MagmaClustR MagmaClustR-package: MagmaClustR : Clustering and Prediction using Multi-Task Gaussian Processes

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

plot_db(): Plot smoothed curves of raw data

plot_gif(): Create a GIF of Magma or GP predictions

plot_gp() plot_magma(): Plot Magma or GP predictions

plot_magmaclust(): Plot MagmaClust predictions

plot_samples(): Display realisations from a (mixture of) GP prediction

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

regularize_data() regularise_data(): Regularise a grid of inputs in a dataset

sample_gp() sample_magma(): Draw samples from a posterior GP/Magma distribution

sample_magmaclust(): Draw samples from a MagmaClust posterior distribution

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