sample_gp: Draw samples from a posterior GP/Magma distribution

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

Draw samples from a posterior GP/Magma distribution

Description

Draw samples from a posterior GP/Magma distribution

Usage

sample_gp(pred_gp, nb_samples = 50)

sample_magma(pred_gp, nb_samples = 50)

Arguments

pred_gp	A list, typically coming from pred_magma or pred_gp functions, with argument 'get_full_cov = TRUE'. Required elements: pred, cov.
nb_samples	A number, indicating the number of samples to be drawn from the predictive posterior distribution. For two-dimensional graphs, only one sample can be displayed.

Value

A tibble or data frame, containing the samples generated from a GP prediction. Format: Input, Sample, Output.

Examples

TRUE

MagmaClustR documentation built on June 29, 2024, 1:06 a.m.