Package: BTLLasso
Type: Package
Title: Modelling Heterogeneity in Paired Comparison Data
Version: 0.1-14
Date: 2025-07-22
Authors@R: person(given = "Gunther",
                    family = "Schauberger",
                    role = c("aut", "cre"),
                    email = "gunther.schauberger@tum.de")
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>
Description: 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.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.3), stringr, psychotools
Depends: Matrix, parallel
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-22 08:04:20 UTC; ge29weh
Author: Gunther Schauberger [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-22 09:01:25 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 00:07:18 UTC; unix
Archs: BTLLasso.so.dSYM
