lymphoma

Franck et. al. (2013) analyzes the genomic hybridization signal
measured from normal and tumor tissue samples taken from six dogs.

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

lymphoma function

A data frame with 6 rows and 2 variables:<dl>
 <dt>V1</dt>
<dd>the signals from the normal tissue samples.</dd> <dt>V2</dt>
<dd>the signals from the tumor tissue samples.</dd>
</dl>

Format

Lymphoma data on genomic hybridization signal from six dogs with normal and tumor
tissue samples taken. — lymphoma

A data frame with 6 rows and 2 variables:<dl>
 <dt>V1</dt>
<dd>the signals from the normal tissue samples.</dd>

 <dt>V2</dt>
<dd>the signals from the tumor tissue samples.</dd>


</dl>

lymphoma: Lymphoma data on genomic hybridization signal from six dogs with normal and tumor tissue samples taken.

Description

Usage

Arguments

Format

References