Package: CompareCausalNetworks
Type: Package
Title: Interface to Diverse Estimation Methods of Causal Networks
Version: 0.1.5
Date: 2016-11-25
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>,
    Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Depends: R (>= 3.1.0)
Imports: Matrix, methods
Maintainer: Christina Heinze-Deml <heinzedeml@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
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-25 16:10:02 UTC; heinzec
Repository: CRAN
Date/Publication: 2016-12-01 16:41:42
