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slgf (version 2.0.0)

Bayesian Model Selection with Suspected Latent Grouping Factors

Description

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

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Version

Install

install.packages('slgf')

Monthly Downloads

221

Version

2.0.0

License

GPL (>= 2)

Maintainer

Thomas Metzger

Last Published

November 21st, 2022

Functions in slgf (2.0.0)

roadwear

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

Converts a two-way layout into tall format with row and column index labels.
ms_slgf

Bayesian Model Selection with Latent Group-Based Regression Effects and Heteroscedasticity
smell

Smell data on olfactory function by age group
textile

Textile data on breaking strength by starch type and chip thickness
lymphoma

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

Bottles data on filling amount of six bottles over five time points.
torque

Locknut data on torque required to tighten a fixture by plating method