BVcliques: Find the bivariate cliques from the marginal data.

In Bioconductor/Icens: NPMLE for Censored and Truncated Data

Find the bivariate cliques from the marginal data.

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

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

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

Bioconductor/Icens documentation built on Oct. 29, 2023, 5:01 p.m.