BTLLasso: Modelling Heterogeneity in Paired Comparison Data

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>
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:, r-release:, r-oldrel:
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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