Description Usage Arguments Value Warning Author(s) References Examples

All indices below a treshold are set to be zero.

1 |

`graphlist` |
an object of class |

`delta` |
numeric threshold, between 0 and 1 if |

`scaled` |
optional boolean, if TRUE, indices are normalized by the overall variance before for threshold cut, defaults to TRUE |

`robust` |
optional boolean, if TRUE, upper confidence intervals limits are used for the threshold cut instead of indices themselves, confidence intervals must be provided in |

an object of class `graphlist`

where the indices are thresholded the clique structure is updated respectively, see `estimateGraph`

for a detailed description

The threshold cut is by default performed on scaled indices. For a cut on the original unscaled indices set `scaled = FALSE`

.

J. Fruth, T. Muehlenstaedt, O. Roustant

Muehlenstaedt, T.; Roustant, O.; Carraro, L.; Kuhnt, S. (2011) Data-driven Kriging models based on FANOVA-decomposition, *Statistics and Computing*.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
# Kriging model prediction
x <- matrix(runif(100*3,-pi,pi),100,3)
KM <- km(~1, design = data.frame(x), response = ishigami.fun(x))
krigingMean <- function(Xnew) predict(object = KM, newdata = Xnew,
type = "UK", se.compute = FALSE, checkNames = FALSE)$mean
# full graph estimation
g <- estimateGraph(krigingMean, d=3, n.tot=10000, q.arg=list(min=-pi, max=pi))
print(g[c(2,6)])
# threshold graph
g.cut <- threshold(g, delta = 0.1)
print(g.cut[c(2,6)])
``` |

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