BTLLasso

swMATH17800CRANBTLLassoMaRDI QIDQ29653

Modelling Heterogeneity in Paired Comparison Data

Gunther Schauberger

Last update: 12 February 2024

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 0.1-11, 0.1-1, 0.1-2, 0.1-3, 0.1-4, 0.1-5, 0.1-6, 0.1-7, 0.1-8, 0.1-9, 0.1-10, 0.1-12, 0.1, 0.1-13

Source code repository: https://github.com/cran/BTLLasso

Description

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.

Cites work

• BTLLasso: A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models
• Subject-specific modelling of paired comparison data: A lasso-type penalty approach