simDataInv

datasets

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.

Christina Heinze-Deml

CompareCausalNetworks

Interface to Diverse Estimation Methods of Causal Networks

simDataInv function

<p>A list created by <code><a rd-options="" href="/link/simulateInterventions?package=CompareCausalNetworks&version=0.2.6.2" data-mini-rdoc="CompareCausalNetworks::simulateInterventions">simulateInterventions</a></code>. 
All inputs are contained in the list element <code>configs</code>. For details
see the help page of <code><a rd-options="" href="/link/simulateInterventions?package=CompareCausalNetworks&version=0.2.6.2" data-mini-rdoc="CompareCausalNetworks::simulateInterventions">simulateInterventions</a></code>.</p>

Format

Data from a causal model with interventions — simDataInv

<p>A list created by <code><a rd-options='' href='simulateInterventions'>simulateInterventions</a></code>. 
All inputs are contained in the list element <code>configs</code>. For details
see the help page of <code><a rd-options='' href='simulateInterventions'>simulateInterventions</a></code>.</p>

simDataInv: Data from a causal model with interventions

Description

Usage

Arguments

Format