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BTLLasso: Modelling Heterogeneity in Paired Comparison Data

Performs 'BTLLasso' as described by Schauberger and Tutz (2019) <doi:10.18637/jss.v088.i09> 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:	0.1-14
Depends:	Matrix, parallel
Imports:	Rcpp (≥ 0.11.3),stringr,psychotools
LinkingTo:	Rcpp,RcppArmadillo
Published:	2025-07-22
DOI:	10.32614/CRAN.package.BTLLasso
Author:	Gunther Schauberger [aut, cre]
Maintainer:	Gunther Schauberger <gunther.schauberger at tum.de>
License:	GPL-2 \|GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	BTLLasso citation info
In views:	Psychometrics
CRAN checks:	BTLLasso results

Documentation:

Reference manual:

BTLLasso.html ,BTLLasso.pdf

Downloads:

Package source:	BTLLasso_0.1-14.tar.gz
Windows binaries:	r-devel:BTLLasso_0.1-14.zip, r-release:BTLLasso_0.1-14.zip, r-oldrel:BTLLasso_0.1-14.zip
macOS binaries:	r-release (arm64):BTLLasso_0.1-14.tgz, r-oldrel (arm64):BTLLasso_0.1-14.tgz, r-release (x86_64):BTLLasso_0.1-14.tgz, r-oldrel (x86_64):BTLLasso_0.1-14.tgz
Old sources:	BTLLasso archive

Linking:

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