beta.special function

Compute set of intervention effects

This function is DEPRECATED! Use ida instead.

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.

Returns

estimates of intervention effects

Author(s)

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

See Also

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