bcgp: Performing Bayesian (Composite) Gaussian Processes

In cbdavis33/bcgpRcpp: Bayesian Composite Gaussian Processes

Description

bcgp is the main function in this package. The user will be able to choose any combination of prediction/variable selection, stationary/non-stationary, and composite/standard Gaussian Processes

Usage

bcgp(trainingX, trainingY, ...)

Arguments

trainingX	An n x d matrix of input locations
trainingY	An n x 1 vector of responses

Details

I'll edit this as the package comes together

Value

An S4 method I hope. Who the fuck knows.

Author(s)

Casey Davis ([e-mail])

See Also

rescale

Examples

trainingX <- matrix(rnorm(5 * 2), ncol = 2, nrow = 5)
trainingY <- rnorm(5, 10, 3)
bcgp(trainingX, trainingY)

cbdavis33/bcgpRcpp documentation built on May 25, 2019, 3:25 p.m.