plotIMGraph

Graph object returned as part of IMaGES run

graph.object

Title of resulting plot of IMGraph

title

This function takes a graph object returned from IMaGES (takes the form of a named list containing <code>.graph</code> and <code>.params</code>) and plots it. Using plotAll or plotMarkovs is recommended unless you only want to see one specific graph.

plot

graph

Functions for the implementation of Independent Multiple-sample
Greedy Equivalence Search (IMaGES), a causal inference algorithm for creating
aggregate graphs and structural equation modeling data for one or more
datasets. This package is useful for time series data with specific regions of
interest. This implementation is inspired by the paper "Six problems
for causal inference from fMRI" by Ramsey, Hanson, Hanson, Halchenko, Poldrack,
and Glymour (2010) <DOI:10.1016/j.neuroimage.2009.08.065>. The IMaGES algorithm uses a modified BIC score to compute goodness
of fit of edge additions, subtractions, and turns across all datasets and
returns a representative graph, along with structural equation modeling data for
the global graph and individual datasets, means, and standard errors. Functions
for plotting the resulting graph(s) are provided. This package is built upon the
'pcalg' package.

Noah Frazier-Logue

IMaGES

Independent Multiple-Sample Greedy Equivalence Search
Implementation

Stephen Jose Hanson

Markus Kalisch

Alain Hauser

Martin Maechler

Diego Colombo

Doris Entner

Patrik Hoyer

Antti Hyttinen

Jonas Peters

Nicoletta Andri

Emilija Perkovic

Preetam Nandy

Philipp Ruetimann

Daniel Stekhoven

Manuel Schuerch

plotIMGraph function

plotIMGraph — plotIMGraph

plotIMGraph: plotIMGraph

Description

Usage

Arguments

Value

References

See Also

Examples