BAYESDEF: Bayesian Analysis of DSD

Definitive Screening Designs are a class of experimental designs that under factor sparsity have the potential to estimate linear, quadratic and interaction effects with little experimental effort. BAYESDEF is a package that performs a five step strategy to analyze this kind of experiments that makes use of tools coming from the Bayesian approach. It also includes the least absolute shrinkage and selection operator (lasso) as a check (Aguirre VM. (2016) <DOI:10.1002/asmb.2160>).

Getting started

Package details

AuthorVictor Manuel Aguirre-Torres, Nery Sofia Huerta-Pacheco, Edgar A. Lopez
MaintainerNery Sofia Huerta-Pacheco <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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BAYESDEF documentation built on May 1, 2019, 7:29 p.m.