MatrixAlgebra {GPM} | R Documentation |
A Set of Functions for Doing Some Calculations on Matrices in GPM
Package
Description
These functions perform some matrix algebra to calculate the log-likelihood function.
Usage
Eigen(A)
CppSolve(A, B)
LowerChol(A)
Arguments
A |
Numeric, symmetric, and positive definite matrix. |
B |
Numeric matrix or vector. |
Value
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
.
Note
These functions are NOT exported once the GPM package is loaded.
See Also
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.
Examples
# see the examples in \code{\link[GPM]{Fit}}
[Package GPM version 3.0.1 Index]