BVcliques: Find the bivariate cliques from the marginal data.

Description Usage Arguments Value Author(s) References See Also Examples

Description

The maximal cliques of the intersection graph are obtained by first finding the cliques for the marginal data and then combining them using the algorithm in Gentleman and Vandal (1999).

Usage

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BVcliques(intvlx, intvly, Lxopen=TRUE, Rxopen=FALSE,
                    Lyopen=TRUE, Ryopen=FALSE )

Arguments

intvlx

The cliques for one marginal component, alternatively the marginal intervals can be supplied.

intvly

The cliques for the other marginal component, alternatively the marginal intervals can be supplied.

Lxopen

Boolean indicating whether the left end point in the x coordinate is open.

Rxopen

Boolean indicating whether the right end point in the x coordinate is open.

Lyopen

Boolean indicating whether the left end point in the y coordinate is open.

Ryopen

Boolean indicating whether the right end point in the y coordinate is open.

Value

A list of the maximal cliques of the intersection graph of the data.

Author(s)

A. Vandal and R. Gentleman

References

Graph–Theoretical Aspects of Bivariate Censored Data, R. Gentleman and A. Vandal, 1999, submitted.

See Also

BVclmat, BVsupport

Examples

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   data(cmv)
   cmv.cl <- BVcliques(cmv[,1:2], cmv[,3:4], Lxopen=FALSE, Lyopen=FALSE )


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