BTLLasso: Modelling Heterogeneity in Paired Comparison Data

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
Depends: Matrix, parallel
Imports: Rcpp (≥ 0.11.3), stringr
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-09-03
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

Downloads:

Reference manual: BTLLasso.pdf
Package source: BTLLasso_0.1.tar.gz
Windows binaries: r-devel: BTLLasso_0.1.zip, r-release: BTLLasso_0.1.zip, r-oldrel: BTLLasso_0.1.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: BTLLasso_0.1.tgz