gprdp {resemble} | R Documentation |
Carries out a gaussian process regression with a linear kernel (dot product). For internal use only!
gprdp(X, Y, noisev, scale)
X |
a matrix of predictor variables |
Y |
a matrix with a single response variable |
noisev |
a value indicating the variance of the noise for Gaussian process regression. Default is 0.001. a matrix with a single response variable |
scale |
a logical indicating whether both the predictors and the response variable must be scaled to zero mean and unit variance. |
a list containing the following elements:
Xz
the (final transformed) matrix
of predictor variables.
alpha
the alpha matrix
.
is.scaled
logical indicating whether both the predictors and response variable were scaled to zero mean and unit variance.
Xcenter
if matrix of predictors was scaled, the centering vector used for X
.
Xscale
if matrix of predictors was scaled, the scaling vector used for X
.
Ycenter
if matrix of predictors was scaled, the centering vector used for Y
.
Yscale
if matrix of predictors was scaled, the scaling vector used for Y
.
Leonardo Ramirez-Lopez