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.
| Version: | 0.1-6 |
| Depends: | Matrix, parallel, TeachingDemos |
| Imports: | Rcpp (≥ 0.11.3), stringr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2017-05-23 |
| Author: | Gunther Schauberger |
| Maintainer: | Gunther Schauberger <gunther at stat.uni-muenchen.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| In views: | Psychometrics |
| CRAN checks: | BTLLasso results |
| Reference manual: | BTLLasso.pdf |
| Package source: | BTLLasso_0.1-6.tar.gz |
| Windows binaries: | r-devel: BTLLasso_0.1-6.zip, r-release: BTLLasso_0.1-6.zip, r-oldrel: BTLLasso_0.1-6.zip |
| OS X El Capitan binaries: | r-release: BTLLasso_0.1-6.tgz |
| OS X Mavericks binaries: | r-oldrel: BTLLasso_0.1-6.tgz |
| Old sources: | BTLLasso archive |
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