BTdecayLasso: Bradley-Terry Model with Exponential Time Decayed Log-Likelihood
and Adaptive Lasso
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) <doi:10.1214/12-AOAS581>.
Version: |
0.1.1 |
Imports: |
optimx, ggplot2, stats |
Published: |
2023-12-07 |
Author: |
Yunpeng Zhou [aut, cre],
Jinfeng Xu [aut] |
Maintainer: |
Yunpeng Zhou <u3514104 at connect.hku.hk> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
Materials: |
README NEWS |
CRAN checks: |
BTdecayLasso results |
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