gpcm-class {GPCsign} | R Documentation |
Gaussian Process Classification (GPC) models class
Description
S4 class for GPC models.
Slots
d
Object of class
"integer"
. The spatial dimension.n
Object of class
"integer"
. The number of observations.X
Object of class
"matrix"
. The design of experiments.y
Object of class
"matrix"
. The vector of binary observations at design points (+/-1) corresponding to the class labels.X.std
Object of class
"numeric"
. The vector of standard deviation values of design points.X.mean
Object of class
"numeric"
. The vector of mean values of design points.call
Object of class
"language"
. User call reminder.coef.m
Object of class
"numeric"
. Mean coefficient of latent GP.coef.cov
Object of class
"numeric"
. Covariance coefficients of latent GP.covariance
Object of class
"covKernel"
. A DiceKriging object specifying the covariance structure.noise.flag
Object of class
"logical"
. Are the observations noisy?noise.var
Object of class
"numeric"
. Nugget effect.param.estim
Object of class
"logical"
.TRUE
if at least one parameter is estimated,FALSE
otherwise.lower
Object of class
"numeric"
. Lower bounds for covariance parameters estimation.upper
Object of class
"numeric"
. Upper bounds for covariance parameters estimation.logLik
Object of class
"numeric"
. Value of the log-Likelihood at its optimum.Z_obs
Object of class
"matrix"
. Anobs
*nsimu
matrix of samples of the latent process at design points.l
Object of class
"numeric"
. Lower truncation points. Parameter to generate newZ_obs
.u
Object of class
"numeric"
. Upper truncation points. Parameter to generate newZ_obs
.K
Object of class
"matrix"
. Covariance matrix of design points. Parameter to generate newZ_obs
invK
Object of class
"matrix"
. The inverse of the matrixK
whose Cholesky decomposition was given.MeanTransform
object of class
"character"
.'positive'
if coef.m is constrained to be positive by an exponential transform,'negative'
if coef.m is constrained to be negative.
Objects from the Class
To create a gpcm
object, use gpcm
. See also this function for more details.
Author(s)
Morgane MENZ, Céline HELBERT, Victor PICHENY, François BACHOC. Contributors: Naoual SERRAJI.
See Also
gpcm
for more details about slots and to create a gpcm
object. {covStruct.create}
in DiceKriging
to construct a covariance structure.