Matern 3/2 Kernel R6 class
Matern 3/2 Kernel R6 class
Matern 3/2 Kernel R6 class
R6Class object.
Object of R6Class with methods for fitting GP model.
GauPro::GauPro_kernel -> GauPro::GauPro_kernel_beta -> GauPro_kernel_Matern32
sqrt3Saved value of square root of 3
k()
Calculate covariance between two points
Matern32$k(x, y = NULL, beta = self$beta, s2 = self$s2, params = NULL)
xvector.
yvector, optional. If excluded, find correlation of x with itself.
betaCorrelation parameters.
s2Variance parameter.
paramsparameters to use instead of beta and s2.
kone()
Find covariance of two points
Matern32$kone(x, y, beta, theta, s2)
xvector
yvector
betacorrelation parameters on log scale
thetacorrelation parameters on regular scale
s2Variance parameter
dC_dparams()
Derivative of covariance with respect to parameters
Matern32$dC_dparams(params = NULL, X, C_nonug, C, nug)
paramsKernel parameters
Xmatrix of points in rows
C_nonugCovariance without nugget added to diagonal
CCovariance with nugget
nugValue of nugget
dC_dx()
Derivative of covariance with respect to X
Matern32$dC_dx(XX, X, theta, beta = self$beta, s2 = self$s2)
XXmatrix of points
Xmatrix of points to take derivative with respect to
thetaCorrelation parameters
betalog of theta
s2Variance parameter
clone()
The objects of this class are cloneable with this method.
Matern32$clone(deep = FALSE)
deepWhether to make a deep clone.
k1 <- Matern32$new(beta=0)
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