is_categorical_Z_any

Categorical is defined as factor (and optionally character and logical).
This helper is intentionally strict about inputs and does not modify data.

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

is_categorical_Z_any function

<dl><dt>sub_data</dt>
<dd>data.frame containing the Z columns.</dd>
<dt>Z</dt>
<dd>character vector of column names defining the conditioning set.</dd>
<dt>allow_character</dt>
<dd>logical; treat character as categorical. Default TRUE.</dd>
<dt>allow_logical</dt>
<dd>logical; treat logical as categorical. Default TRUE.</dd></dl>

Arguments

Check whether Z contains at least one categorical variable — is_categorical_Z_any

<dl>

<dt>sub_data</dt>
<dd>data.frame containing the Z columns.</dd>


<dt>Z</dt>
<dd>character vector of column names defining the conditioning set.</dd>


<dt>allow_character</dt>
<dd>logical; treat character as categorical. Default TRUE.</dd>


<dt>allow_logical</dt>
<dd>logical; treat logical as categorical. Default TRUE.</dd>

</dl>

is_categorical_Z_any: Check whether Z contains at least one categorical variable

Description

Usage

Value

Arguments