simData

datasets

Performs 'nonlinear Invariant Causal Prediction' to estimate the
causal parents of a given target variable from data collected in
different experimental or environmental conditions, extending
'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016),
<arXiv:1501.01332>, to nonlinear settings. For more details, see C. Heinze-Deml,
J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models',
<arXiv:1706.08576>.

Christina Heinze-Deml

nonlinearICP

Invariant Causal Prediction for Nonlinear Models

simData function

A list with the following entries<ul>
<li><code>X</code> Dataframe with 500 observations and three variables.</li>
<li><code>environment</code> A vector of length 500, indicating which environment
 the observations belong to.</li>
<li><code>interventionVar</code> A matrix of dimension 6 (no. of environments) x 3 (no. of variables),
 where entry i,j indicates whether variable j was intervened on in environment i.</li>
</ul>

simData: Example dataset for tests

Description

Usage

Arguments

Format