kmCok-class: Class '"kmCok"'

Description Objects from the Class Slots Methods Author(s) See Also

Description

S4 class for cokriging models derived from km-class.

Objects from the Class

Objects can be created by calls of the form new("kmCok", ...).

Slots

AR.p:

object of class "integer". The number of regressors for the adjustment coefficient ρ_{k-1} with k=2,...,nlevel. (see "MuFicokm")

AR.formula:

object of class "formula". A formula specifying the trend as a linear model for the adjustment coefficient ρ_{k-1} with k=2,...,nlevel. (see "MuFicokm")

AR.Z:

object of class "numeric". The vector of response values of level k-1 at design points of level k. (see "MuFicokm")

AR.F:

object of class "matrix". The experimental matrix corresponding to the evaluation of the linear trend basis functions of ρ_{k-1} at the design of experiments. (see "MuFicokm")

d:

object of class "integer" see Class "km"

for the other arguments

n:

object of class "integer"

X:

object of class "matrix"

y:

object of class "matrix"

p:

object of class "integer"

F:

object of class "matrix"

trend.formula:

object of class "formula"

trend.coef:

object of class "numeric"

covariance:

object of class "covKernel"

noise.flag:

object of class "logical"

noise.var:

object of class "numeric"

known.param:

object of class "character"

case:

object of class "character"

param.estim:

object of class "logical"

method:

object of class "character"

penalty:

object of class "list"

optim.method:

object of class "character"

lower:

object of class "numeric"

upper:

object of class "numeric"

control:

object of class "list"

gr:

object of class "logical"

call:

object of class "language"

parinit:

object of class "numeric"

logLik:

object of class "numeric"

T:

object of class "matrix"

z:

object of class "numeric"

M:

object of class "matrix"

Methods

predict

signature(object = "kmCok"): see predict,kmCok-method

Author(s)

Loic Le Gratiet

See Also

km, MuFicokm


MuFiCokriging documentation built on May 2, 2019, 3:33 p.m.