BTLLasso: Modelling Heterogeneity in Paired Comparison Data (original) (raw)
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.
| Version: | 0.1-13 |
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| Depends: | Matrix, parallel |
| Imports: | Rcpp (≥ 0.11.3), stringr, psychotools |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2024-02-12 |
| DOI: | 10.32614/CRAN.package.BTLLasso |
| Author: | Gunther Schauberger |
| Maintainer: | Gunther Schauberger <gunther.schauberger at tum.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | BTLLasso citation info |
| In views: | Psychometrics |
| CRAN checks: | BTLLasso results |
Documentation:
| Reference manual: | BTLLasso.pdf |
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Downloads:
| Package source: | BTLLasso_0.1-13.tar.gz |
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| Windows binaries: | r-devel: BTLLasso_0.1-13.zip, r-release: BTLLasso_0.1-13.zip, r-oldrel: BTLLasso_0.1-13.zip |
| macOS binaries: | r-release (arm64): BTLLasso_0.1-13.tgz, r-oldrel (arm64): BTLLasso_0.1-13.tgz, r-release (x86_64): BTLLasso_0.1-13.tgz, r-oldrel (x86_64): BTLLasso_0.1-13.tgz |
| Old sources: | BTLLasso archive |
Linking:
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