gp_predict: predict the expected values and posterior distributions of...

In cboettig/nonparametric-bayes: Nonparametric Bayes inference for ecological models

Description

predict the expected values and posterior distributions of the Gaussian Process

Usage

gp_predict(gp, x_predict, burnin = 0, thin = 1, covs = FALSE)

Arguments

gp	a fit of the gaussian process from gp_mcmc
x_predict	the values at which we desire predictions
burnin	length of sequence to discard as a transient
thin	frequency of sub-sampling (make posterior distribution smaller if necessary)
covs	if TRUE, return covariances instead of variances (set high thinning as this is memory intensive)

cboettig/nonparametric-bayes documentation built on May 13, 2019, 2:09 p.m.