Interface to Diverse Estimation Methods of Causal Networks
Christina Heinze <heinze@stat.math.ethz.ch>,
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
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.
pcalg, InvariantCausalPrediction, glmnet, backShift, CAM,
kernlab, mgcv, testthat

Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>,
Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
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.

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.
pcalg, InvariantCausalPrediction, glmnet, backShift, CAM,
kernlab, mgcv, bnlearn, testthat, huge, flare