Other packages > Find by keyword >

BTLLasso  

Modelling Heterogeneity in Paired Comparison Data
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]
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 06 Mar. 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)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA