CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks
Version 0.1.9

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), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.

Package details

AuthorChristina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Date of publication2017-07-31 08:35:22 UTC
MaintainerChristina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
LicenseGPL
Version0.1.9
URL https://github.com/christinaheinze/CompareCausalNetworks
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CompareCausalNetworks")

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CompareCausalNetworks documentation built on July 31, 2017, 9:02 a.m.