BTLLasso0.1-13 package

Modelling Heterogeneity in Paired Comparison Data

boot.BTLLasso

Bootstrap function for BTLLasso

BTLLasso-package

BTLLasso

BTLLasso

Function to perform BTLLasso

ctrl.BTLLasso

Control function for BTLLasso

cv.BTLLasso

Cross-validation function for BTLLasso

paths

Plot covariate paths for BTLLasso

plot.boot.BTLLasso

Plot bootstrap intervals for BTLLasso

plot.BTLLasso

Plot parameter paths for BTLLasso

predict.BTLLasso

Predict function for BTLLasso

print.boot.BTLLasso

Print function for boot.BTLLasso objects

print.BTLLasso

Print function for BTLLasso objects

print.cv.BTLLasso

Print function for cv.BTLLasso objects

response.BTLLasso

Create response object for BTLLasso

Download source packageRead PDF manual

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.

  • Maintainer: Gunther Schauberger
  • License: GPL (>= 2)
  • Last published: 2024-02-12