BTLLasso: Modelling Heterogeneity in Paired Comparison Data

Performs 'BTLLasso', 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.

AuthorGunther Schauberger
Date of publication2017-01-17 01:05:29
MaintainerGunther Schauberger <gunther@stat.uni-muenchen.de>
LicenseGPL (>= 2)
Version0.1-5

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