roadwear

Davies (1954) analyzes the wear on four tires, where each tire comprises
three distinct compounds.

datasets

Implements the Bayesian model selection method with suspected latent
grouping factor methodology of Metzger and Franck (2020),
<doi:10.1080/00401706.2020.1739561>. SLGF detects latent
heteroscedasticity or group-based regression effects based on the levels of a
user-specified categorical predictor.

Thomas Metzger

slgf

Bayesian Model Selection with Suspected Latent Grouping Factors

Christopher Franck

roadwear function

A data frame with 12 rows and 3 variables:<dl>
 <dt>abrasion</dt>
<dd>the measurement of abrasion.</dd> <dt>compound</dt>
<dd>the compound from which each measurement was taken,
 either A, B, C, or D.</dd> <dt>tire</dt>
<dd>the tire from which each measurement was taken,
 either 1, 2, 3, or 4.</dd>
</dl>

Format

Roadwear data on four tires, each comprising three compounds,
from a balanced incompleted block design. — roadwear

A data frame with 12 rows and 3 variables:<dl>
 <dt>abrasion</dt>
<dd>the measurement of abrasion.</dd>

 <dt>compound</dt>
<dd>the compound from which each measurement was taken,
 either A, B, C, or D.</dd>

 <dt>tire</dt>
<dd>the tire from which each measurement was taken,
 either 1, 2, 3, or 4.</dd>


</dl>

roadwear: Roadwear data on four tires, each comprising three compounds, from a balanced incompleted block design.

Description

Usage

Arguments

Format

References