MatrixAlgebra: A Set of Functions for Doing Some Calculations on Matrices in...
In GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets

Description Usage Arguments Value Note See Also Examples

These functions perform some matrix algebra to calculate the log-likelihood function.

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Eigen(A)
CppSolve(A, B)
LowerChol(A)

`A`	Numeric, symmetric, and positive definite matrix.
`B`	Numeric matrix or vector.

Eigen(A)) returns the smallest eigen value of A. CppSolve(A, B) solves for X in AX=B. LowerChol(A) return the lower triangular Cholesky decomposition of A.

These functions are NOT exported once the GPM package is loaded.

Fit to see how a GP model can be fitted to a training dataset.
Predict to use the fitted GP model for prediction.
Draw to plot the response via the fitted model.