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BTdecayLasso  

Bradley-Terry Model with Exponential Time Decayed Log-Likelihood and Adaptive Lasso
View on CRAN: Click here


Download and install BTdecayLasso package within the R console
Install from CRAN:
install.packages("BTdecayLasso")

Install from Github:
library("remotes")
install_github("cran/BTdecayLasso")

Install by package version:
library("remotes")
install_version("BTdecayLasso", "0.1.1")



Attach the package and use:
library("BTdecayLasso")
Maintained by
Yunpeng Zhou
[Scholar Profile | Author Map]
First Published: 2018-06-27
Latest Update: 2023-12-07
Description:
We utilize the Bradley-Terry Model to estimate the abilities of teams using paired comparison data. For dynamic approximation of current rankings, we employ the Exponential Decayed Log-likelihood function, and we also apply the Lasso penalty for variance reduction and grouping. The main algorithm applies the Augmented Lagrangian Method described by Masarotto and Varin (2012) .
How to cite:
Yunpeng Zhou (2018). BTdecayLasso: Bradley-Terry Model with Exponential Time Decayed Log-Likelihood and Adaptive Lasso. R package version 0.1.1, https://cran.r-project.org/web/packages/BTdecayLasso. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-06-27 16:58)
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Complete documentation for BTdecayLasso
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