update_without_factor

Perform a model update while removing a chosen factor. Hierarchical
corresponds to type "II" sum-of-squares, i.e., obeying marginality,
while non-hierarchical corresponds to type "III" sum-of-squares.

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0)
"Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences".
This implements and imports a  collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting
functions, multiple real data sets and four vignettes covering a range different applications.

Kristian Hovde Liland

HDANOVA

High-Dimensional Analysis of Variance

update_without_factor function

<dl><dt>model</dt>
<dd><code>model</code> object to update.</dd>
<dt>fac</dt>
<dd><code>character</code> factor to remove.</dd>
<dt>hierarchical</dt>
<dd><code>logical</code> obey hierarchy when removing factor (default = TRUE).</dd></dl>

Arguments

Update a Model without Factor — update_without_factor

<dl>

<dt>model</dt>
<dd><code>model</code> object to update.</dd>


<dt>fac</dt>
<dd><code>character</code> factor to remove.</dd>


<dt>hierarchical</dt>
<dd><code>logical</code> obey hierarchy when removing factor (default = TRUE).</dd>

</dl>

update_without_factor: Update a Model without Factor

Description

Usage

Value

Arguments