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BTLLasso: Modelling Heterogeneity in Paired Comparison Data
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.
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Package details |
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| Author | Gunther Schauberger |
| Maintainer | Gunther Schauberger <[email protected]> |
| License | GPL (>= 2) |
| Version | 0.1-10 |
| Package repository | View on CRAN |
| Installation |
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