Package: BTLLasso 0.1-13

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.

Authors:Gunther Schauberger

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6 exports 1 stars 0.36 score 13 dependencies 21 scripts 431 downloads

Last updated 7 months agofrom:0a4810de62. Checks:OK: 9. Indexed: yes.

Exports:boot.BTLLassoBTLLassoctrl.BTLLassocv.BTLLassopathsresponse.BTLLasso

Dependencies:cligluelatticelifecyclemagrittrMatrixpsychotoolsRcppRcppArmadillorlangstringistringrvctrs