Package: CompareCausalNetworks
Type: Package
Title: Interface to Diverse Estimation Methods of Causal Networks
Version: 0.1.4
Date: 2015-10-04
Author: Christina Heinze <heinze@stat.math.ethz.ch>,
  Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Depends: R (>= 3.1.0)
Imports: Matrix, methods
Maintainer: Christina Heinze <heinze@stat.math.ethz.ch>
Description: Unified interface for the estimation of causal networks, 
 including the methods 'backShift' (from package 'backShift'), 
 'bivariateANM' (bivariate additive noise model), 
 'bivariateCAM' (bivariate causal additive model), 
 'CAM' (causal additive model) (from package 'CAM'), 
 'hiddenICP' (invariant causal prediction with hidden variables), 
 'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'), 
 'GES' (greedy equivalence search), 
 'GIES' (greedy interventional equivalence search), 
 'LINGAM', 'PC' (PC Algorithm), 
 'RFCI' (really fast causal inference)
 (all from package 'pcalg') and regression.
License: GPL
LazyData: true
Suggests: pcalg, InvariantCausalPrediction, glmnet, backShift, CAM,
        kernlab, mgcv, testthat
URL: https://github.com/christinaheinze/CompareCausalNetworks
BugReports:
        https://github.com/christinaheinze/CompareCausalNetworks/issues
NeedsCompilation: no
Packaged: 2015-10-07 06:55:48 UTC; heinzec
Repository: CRAN
Date/Publication: 2015-10-07 09:49:12
