CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks

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'; the package is temporarily unavailable on the CRAN repository; formerly available versions can be obtained from the archive), '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), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.

Version: 0.2.6.2
Depends: R (≥ 3.1.0)
Imports: methods, Matrix, expm, data.table
Published: 2020年02月17日
Author: Christina Heinze-Deml, Nicolai Meinshausen
Maintainer: Christina Heinze-Deml <heinzedeml at stat.math.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
In views: CausalInference

Documentation:

Downloads:

macOS binaries: r-release (arm64): CompareCausalNetworks_0.2.6.2.tgz, r-oldrel (arm64): CompareCausalNetworks_0.2.6.2.tgz, r-release (x86_64): CompareCausalNetworks_0.2.6.2.tgz, r-oldrel (x86_64): CompareCausalNetworks_0.2.6.2.tgz

Reverse dependencies:

Reverse imports: SELF

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