Performs 'BTLLasso', a method to model heterogeneity in paired comparison data. Subject-specific covariates are allowed to have an influence on the attractivity/strength of the objects. An L1 penalty on the pairwise differences between the object-specific parameters allows for both clustering of objects with regard to covariates and elimination of irrelevant covariates.
| Version: | 0.1-2 |
| Depends: | Matrix, parallel |
| Imports: | Rcpp (≥ 0.11.3), stringr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2015-09-29 |
| 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 |
| CRAN checks: | BTLLasso results |
| Reference manual: | BTLLasso.pdf |
| Package source: | BTLLasso_0.1-2.tar.gz |
| Windows binaries: | r-devel: BTLLasso_0.1-2.zip, r-release: BTLLasso_0.1-2.zip, r-oldrel: BTLLasso_0.1-2.zip |
| OS X Snow Leopard binaries: | r-release: not available, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: BTLLasso_0.1-2.tgz |
| Old sources: | BTLLasso archive |