Description Usage Arguments Value See Also Examples

This method provides plots for assessing the quality of regression models whose structure have been somehow optimized for predictability.

1 |

`x.model` |
an object containing the model for which the quality plot is to be made. |

`...` |
additional arguments affecting the plot. |

None.

***** plotX for the diagnostic plot of a quality-enhanced funGp model.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
require(funGp) # a package with a plotX method implemented
# generating input and output data
set.seed(100)
n.tr <- 2^5
sIn <- expand.grid(x1 = seq(0,1,length = n.tr^(1/5)), x2 = seq(0,1,length = n.tr^(1/5)),
x3 = seq(0,1,length = n.tr^(1/5)), x4 = seq(0,1,length = n.tr^(1/5)),
x5 = seq(0,1,length = n.tr^(1/5)))
fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22))
sOut <- fgp_BB7(sIn, fIn, n.tr)
## Not run:
# optimizing the model structure with fgpm_factory (~5 seconds)
xm <- fgpm_factory(sIn = sIn, fIn = fIn, sOut = sOut)
# assessing the quality of the model - absolute and w.r.t. the other explored models
plotX(xm)
## End(Not run)
``` |

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