funGp (version 0.1.0)

plotLOO: Leave-one-out calibration plot for a funGp model

Description

This method provides a diagnostic plot for the validation of a funGp Gaussian process model. It displays a calibration plot based on the leave-one-out predictions of the output at the points used to train the model.

Usage

# S4 method for fgpm
plotLOO(model, ...)

Arguments

model

an object of class '>fgpm corresponding to the funGp model to validate.

...

additional arguments affecting the plot. The following typical graphics parameters are valid entries: xlim, ylim, xlab, ylab, main.

Value

None.

See Also

* fgpm for the construction of funGp models;

* plotPreds for prediction plots;

* plotSims for simulation plots.

Examples

# NOT RUN {
# generating input and output data for training
set.seed(100)
n.tr <- 25
sIn <- expand.grid(x1 = seq(0,1,length = sqrt(n.tr)), x2 = seq(0,1,length = sqrt(n.tr)))
fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22))
sOut <- fgp_BB3(sIn, fIn, n.tr)

# building the model
m1 <- fgpm(sIn = sIn, fIn = fIn, sOut = sOut)

# plotting the model
plotLOO(m1)

# }