pcalg: beta.special – R documentation

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pcalg

beta.special

Compute set of intervention effects

Description

This function is DEPRECATED! Use ida instead.

Usage

beta.special(dat=NA, x.pos, y.pos, verbose=0, a=0.01, myDAG=NA,
             myplot=FALSE, perfect=FALSE, method="local", collTest=TRUE,
             pcObj=NA, all.dags=NA, u2pd="rand")

Arguments

`dat`	Data matrix
`x.pos, y.pos`	integer column positions of x and y in `dat`.
`verbose`	0=no comments, 2=detail on estimates
`a`	Significance level of tests for finding CPDAG
`myDAG`	Needed if true correlation matrix shall be computed
`myplot`	Plot estimated graph
`perfect`	True cor matrix is calculated from myDAG
`method`	"local" - local (all combinations of parents in regr.); "global" - all DAGs
`collTest`	True - Exclude orientations of undirected edges that introduce a new collider
`pcObj`	Fit of PC Algorithm (CPDAG); if this is available, no new fit is done
`all.dags`	All DAGs in the format of function allDags; if this is available, no new function call allDags is done
`u2pd`	function for converting a UDAG to a PDAG; "rand": `udag2pdag`; "relaxed": `udag2pdagRelaxed`; "retry": `udag2pdagSpecial`.

Value

estimates of intervention effects

Author(s)

Markus Kalisch (kalisch@stat.math.ethz.ch)