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:	0.1-11
Depends:	Matrix, parallel, TeachingDemos
Imports:	Rcpp (≥ 0.11.3), stringr, psychotools
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	gvcm.cat
Published:	2020-10-07
Author:	Gunther Schauberger
Maintainer:	Gunther Schauberger <gunther.schauberger at tum.de>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
SystemRequirements:	C++11
Citation:	BTLLasso citation info
In views:	Psychometrics
CRAN checks:	BTLLasso results

Documentation:

Reference manual:

BTLLasso.pdf

Downloads:

Package source:	BTLLasso_0.1-11.tar.gz
Windows binaries:	r-devel: BTLLasso_0.1-11.zip, r-release: BTLLasso_0.1-11.zip, r-oldrel: BTLLasso_0.1-11.zip
macOS binaries:	r-release (arm64): BTLLasso_0.1-11.tgz, r-oldrel (arm64): BTLLasso_0.1-11.tgz, r-release (x86_64): BTLLasso_0.1-11.tgz, r-oldrel (x86_64): BTLLasso_0.1-11.tgz
Old sources:	BTLLasso archive

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