rfci.vStruc

allDags

amat2dag

gaussCItest.fast

Internal functions of package <pkg>pcalg</pkg>

internal

pcalg-internal

This package contains several functions for causal structure
  learning and causal inference using graphical models. The main algorithms
  for causal structure learning are PC (for observational data without hidden
  variables), FCI and RFCI (for observational data with hidden variables),
  and GIES (for a mix of observational and interventional data without hidden
  variables). For causal inference the IDA algorithm and the generalized
  backdoor criterion is implemented.

Markus Kalisch

pcalg

Methods for graphical models and causal inference

pcalg-internal function

Internal Pcalg Functions

pcalg-internal: Internal Pcalg Functions

Description

Usage

Arguments

Details