_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-comparecausalnetworks 0.2.6.2
Propagated dependencies: r-matrix@1.7-3 r-expm@1.0-0 r-data-table@1.17.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/christinaheinze/CompareCausalNetworks
Licenses: GPL 2+ GPL 3+
Synopsis: Interface to Diverse Estimation Methods of Causal Networks
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'; 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.

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