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: 0.1-7
Depends: Matrix, parallel, TeachingDemos
Imports: Rcpp (≥ 0.11.3), stringr, psychotools
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-10-26
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

Downloads:

Reference manual: BTLLasso.pdf
Package source: BTLLasso_0.1-7.tar.gz
Windows binaries: r-devel: BTLLasso_0.1-7.zip, r-release: BTLLasso_0.1-7.zip, r-oldrel: BTLLasso_0.1-7.zip
OS X El Capitan binaries: r-release: BTLLasso_0.1-7.tgz
OS X Mavericks binaries: r-oldrel: BTLLasso_0.1-7.tgz
Old sources: BTLLasso archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BTLLasso to link to this page.