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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-14 |
rolling linux/jammy R-4.5 | BTLLasso_0.1-14.tar.gz |
424.6 KiB |
0.1-14 |
rolling linux/noble R-4.5 | BTLLasso_0.1-14.tar.gz |
429.9 KiB |
0.1-14 |
rolling source/ R- | BTLLasso_0.1-14.tar.gz |
161.9 KiB |
0.1-14 |
latest linux/jammy R-4.5 | BTLLasso_0.1-14.tar.gz |
424.6 KiB |
0.1-14 |
latest linux/noble R-4.5 | BTLLasso_0.1-14.tar.gz |
429.9 KiB |
0.1-14 |
latest source/ R- | BTLLasso_0.1-14.tar.gz |
161.9 KiB |
0.1-14 |
2026-04-26 source/ R- | BTLLasso_0.1-14.tar.gz |
161.9 KiB |
0.1-14 |
2026-04-23 source/ R- | BTLLasso_0.1-14.tar.gz |
161.9 KiB |
0.1-14 |
2026-04-09 windows/windows R-4.5 | BTLLasso_0.1-14.zip |
751.7 KiB |
0.1-13 |
2025-04-20 source/ R- | BTLLasso_0.1-13.tar.gz |
159.0 KiB |