NonLinNormal

A dataset containing simulated data from a non-linear transformation of a multivariate normal distribution.

datasets

Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.

Christian B. H. Thorjussen

Computational Test for Conditional Independence

Christian Thorjussen

Kristian Hovde Liland

NonLinNormal function

A data frame with 500 rows and 4 variables:<dl>
<dt>X</dt>
<dd>Numeric vector</dd><dt>Y</dt>
<dd>Numeric vector</dd><dt>Z1</dt>
<dd>Conditioning variable</dd><dt>Z2</dt>
<dd>Conditioning variable</dd>
</dl>

Format

Example dataset: NonLinNormal — NonLinNormal

A data frame with 500 rows and 4 variables:<dl>
<dt>X</dt>
<dd>Numeric vector</dd>

<dt>Y</dt>
<dd>Numeric vector</dd>

<dt>Z1</dt>
<dd>Conditioning variable</dd>

<dt>Z2</dt>
<dd>Conditioning variable</dd>


</dl>

NonLinNormal: Example dataset: NonLinNormal

Description

Usage

Arguments

Format