pcalg (version 2.0-3)

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":

Value

• estimates of intervention effects

See Also

pcAlgo, dag2cpdag; beta.special.pcObj for a fast version of beta.special(), using a precomputed pc-object.