Modelling Heterogeneity in Paired Comparison Data
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-04-08
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- ERROR13 OK, 1 ERROR2026-04-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 21includes a package overview page
- Examples that run
- 0%21 never run
- Exported functions with examples
- 100%
- Documented parameters
- 95%
- Return-value docs
- 67%
- Help pages citing references
- 76%
Downloads
Dependencies
Installing BTLLasso adds 11 packages (9 with compiled code, 17 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- 0.1-14Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1-132024-02-12 · diff ↗
- 0.1-122024-01-23 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1-112020-10-07 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1-102019-03-25 · diff ↗
- 0.1-92019-03-06 · diff ↗
- 0.1-82019-02-21 · diff ↗
- RR 3.5.0 released · 2018-04-23
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Package metadata
- First published
- 2015-09-03
- Total releases
- 15 / 11 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 130 KB / 8 files
- Download size
- 161 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("BTLLasso")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v088.i09.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.