You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The cdt.causality.graph.GIES constructor is missing parameters to set the targets and target.index parameters for the score functions GaussL0penIntScore and GaussL0penObsScore. These parameters allow the user to specify the interventional targets and which data row has which intervention applied -- this is needed for the GIES algorithm. See https://search.r-project.org/CRAN/refmans/pcalg/html/GaussL0penIntScore-class.html
As is, the gies.R code uses source$getTargets() which by default sets targets to observational targets only. This means right now, the GIES algorithm in cdt does not handle interventional data properly.
The text was updated successfully, but these errors were encountered:
The cdt.causality.graph.GIES constructor is missing parameters to set the
targets
andtarget.index
parameters for the score functionsGaussL0penIntScore
andGaussL0penObsScore.
These parameters allow the user to specify the interventional targets and which data row has which intervention applied -- this is needed for the GIES algorithm. See https://search.r-project.org/CRAN/refmans/pcalg/html/GaussL0penIntScore-class.htmlAs is, the gies.R code uses source$getTargets() which by default sets targets to observational targets only. This means right now, the GIES algorithm in cdt does not handle interventional data properly.
The text was updated successfully, but these errors were encountered: