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.
Package details |
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Author | Gunther Schauberger |
Date of publication | 2017-10-26 10:56:51 UTC |
Maintainer | Gunther Schauberger <[email protected]> |
License | GPL (>= 2) |
Version | 0.1-7 |
Package repository | View on CRAN |
Installation |
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