gpPosteriorMeanVar: Mean and variances of the posterior at points given by X.

In alkalait/gptk: Gaussian Processes Tool-Kit

Description

returns the posterior mean and variance for a given set of points.

Usage

gpPosteriorMeanVar(model, X, varsigma.return=FALSE)

Arguments

model	the model for which the posterior will be computed.
X	the input positions for which the posterior will be computed.
varsigma.return	(logical) compute variances.

Value

mu	the mean of the posterior distribution.
sigma	the variances of the posterior distributions.

See Also

gpCreate.

Examples

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alkalait/gptk documentation built on March 7, 2020, 6:30 a.m.