BTLLasso: Modelling Heterogeneity in Paired Comparison Data

Performs 'BTLLasso' as described by Schauberger and Tutz (2019) <doi:10.18637/jss.v088.i09> and Schauberger and Tutz (2017) <doi:10.1177/1471082X17693086>. BTLLasso is a method to include different types of variables in paired comparison models and, therefore, to allow for heterogeneity between subjects. Variables can be subject-specific, object-specific and subject-object-specific and can have an influence on the attractiveness/strength of the objects. Suitable L1 penalty terms are used to cluster certain effects and to reduce the complexity of the models.

Package details

AuthorGunther Schauberger
MaintainerGunther Schauberger <[email protected]>
LicenseGPL (>= 2)
Version0.1-10
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BTLLasso")

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BTLLasso documentation built on March 25, 2019, 5:05 p.m.