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