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BTLLasso
View on CRAN: Click
here
Download and install BTLLasso package within the R console
Install from CRAN:
install.packages("BTLLasso")
Install from Github:
library("remotes")
install_github("cran/BTLLasso") Install by package version:
library("remotes")
install_version("BTLLasso", "0.1-14") Attach the package and use:
library("BTLLasso")
Maintained by
Gunther Schauberger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-03
Latest Update: 2025-07-22
Description:
Performs 'BTLLasso' as described by Schauberger and Tutz (2019) 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.
How to cite:
Gunther Schauberger (2015). BTLLasso: Modelling Heterogeneity in Paired Comparison Data. R package version 0.1-14, https://cran.r-project.org/web/packages/BTLLasso. Accessed 18 Sep. 2026.
Previous versions and publish date:
0.1-1 (2015-09-07 18:17), 0.1-2 (2015-09-29 01:30), 0.1-3 (2016-11-23 00:38), 0.1-4 (2016-12-02 23:12), 0.1-5 (2017-01-17 01:05), 0.1-6 (2017-05-23 19:27), 0.1-7 (2017-10-26 12:56), 0.1-8 (2019-02-21 09:30), 0.1-9 (2019-03-06 16:20), 0.1-10 (2019-03-25 16:46), 0.1-11 (2020-10-07 10:00), 0.1-12 (2024-01-23 09:53), 0.1-13 (2024-02-12 10:20), 0.1 (2015-09-03 12:19), (2026-07-09 07:58)
Other packages that cited BTLLasso R package
View BTLLasso citation profile
Other R packages that BTLLasso depends,
imports, suggests or enhances
Complete documentation for BTLLasso
Functions, R codes and Examples using
the BTLLasso R package
Some associated functions: BTLLasso-package . BTLLasso . Buli1415 . Buli1516 . Buli1617 . Buli1718 . BuliResponse . GLES . GLESsmall . SimData . boot.BTLLasso . ctrl.BTLLasso . cv.BTLLasso . paths . plot.BTLLasso . plot.boot.BTLLasso . predict.BTLLasso . print.BTLLasso . print.boot.BTLLasso . print.cv.BTLLasso . response.BTLLasso .
Some associated R codes: BTLLasso-package.R . BTLLasso.R . RcppExports.R . bin.fit.Cpp.R . boot.BTLLasso.R . coef.cv.BTLLasso.R . create.design.R . cum.fit.Cpp.R . cv.BTLLasso.R . design.BTLLasso.R . df.BTLLasso.R . find.lambda.R . fit.BTLLasso.R . fit.cv.BTLLasso.R . functions.R . paths.R . penalties.BTLLasso.R . plot.BTLLasso.R . plot.boot.BTLLasso.R . predict.BTLLasso.R . predict.help.R . print.BTLLasso.R . print.boot.BTLLasso.R . print.cv.BTLLasso.R . response.BTLLasso.R . Full BTLLasso package functions and examples
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