BTLLasso: Modelling Heterogeneity in Paired Comparison Data

Performs 'BTLLasso' as described by Schauberger and Tutz (2019): BTLLasso - A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models, Journal of Statistical Software, to appear) 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: 0.1-9
Depends: Matrix, parallel, TeachingDemos
Imports: Rcpp (≥ 0.11.3), stringr, psychotools
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-03-06
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger at tum.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_0.1-9.tar.gz
Windows binaries: r-devel: BTLLasso_0.1-9.zip, r-release: BTLLasso_0.1-9.zip, r-oldrel: BTLLasso_0.1-9.zip
OS X binaries: r-release: BTLLasso_0.1-9.tgz, r-oldrel: BTLLasso_0.1-9.tgz
Old sources: BTLLasso archive

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