covComp-class {kergp}

Class "covComp"

Description

Class "covComp" representing a composite kernel combining several kernels objects inheriting from the class "covAll".

Objects from the Class

Objects can be created by calls of the form new("covComp", ...) or by using covComp.

Slots

def:

Object of class "expression" defining the This is a parsed and cleaned version of the value of the formula formal in covComp.

covAlls:

Object of class "list" containing the kernel objects used by the formula. The coefficients of these kernels can be changed.

hasGrad:

Object of class "logical": can we differentiate the kernel w.r.t. all its parameters?

label:

Object of class "character" A label attached to the kernel to describe it.

d:

Object of class "integer": dimension (or number of inputs).

parN:

Object of class "integer": number of parameters.

parNames:

Object of class "character": vector of parameter names. Its length is in slot parN.

inputNames:

Object of class "character": names of the inputs used by the kernel.

topParN:

Object of class "integer": number of top parameters.

topParNames:

Object of class "character". Names of the top parameters.

topPar:

Object of class "numeric". Values of the top parameters.

topParLower:

Object of class "numeric". Lower bounds for the top parameters.

topParUpper:

Object of class "numeric". Upper bounds for the top parameters.

parsedFormula:

Object of class "list". Ugly draft for some slots to be added in the next versions.

Extends

Class "covAll", directly.

Methods

as.list

signature(object = "covComp"): coerce object into a list of covariance kernels, each inheriting from the virual class "covAll". This is useful e.g., to extract the coefficients or to plot a covariance component.

checkX

signature(object = "covComp", X = "data.frame"): check that the inputs exist with suitable column names and suitable factor content. The levels should match the prescribed levels. Returns a matrix with the input columns in the order prescribed by object.

coef, coef<-

signature(object = "covComp"): extract or replace the vector of coefficients.

coefLower, coefUpper

signature(object = "covComp"): extract the vector of Lower or Upper bounds on the coefficients.

scores

signature(object = "covComp"): return the vector of scores, i.e. the derivative of the log-likelihood w.r.t. the parameter vector at the current parameter values.

See Also

The covComp creator.

Examples

showClass("covComp")