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 |
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Author | Gunther Schauberger |
Maintainer | Gunther Schauberger <gunther.schauberger@tum.de> |
License | GPL (>= 2) |
Version | 0.1-11 |
Package repository | View on CRAN |
Installation |
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