Performs 'BTLLasso' (Schauberger and Tutz, 2017: Subject-Specific Modelling of Paired Comparison Data - a Lasso-Type Penalty Approach), 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.
|Date of publication||2017-05-23 17:27:22 UTC|
|Maintainer||Gunther Schauberger <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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