plotAG

Adjacency matrix (coding 0,1,2,3 for no edge, circle,
    arrowhead, tail; e.g., <code>amat[a,b] = 2</code> and <code>amat[b,a] = 3</code>
    implies a -> b)

amat

This function is DEPRECATED! Use the <code>plot</code> method of the
<code><links4class>fciAlgo</links4class></code> class instead.

multivariate

models

graphs

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.

plotAG: Plot partial ancestral graphs (PAG)

Description

Usage

Arguments

See Also