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) . 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.


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install.packages("BTLLasso")

0.1-9 by Gunther Schauberger, 19 days ago


Browse source code at https://github.com/cran/BTLLasso


Authors: Gunther Schauberger


Documentation:   PDF Manual  


Task views: Psychometric Models and Methods


GPL (>= 2) license


Imports Rcpp, stringr, psychotools

Depends on Matrix, parallel, TeachingDemos

Linking to Rcpp, RcppArmadillo

System requirements: C++11


See at CRAN