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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | BTdecayLasso_0.1.1.tar.gz |
94.7 KiB |
0.1.1 |
rolling linux/noble R-4.5 | BTdecayLasso_0.1.1.tar.gz |
94.6 KiB |
0.1.1 |
rolling source/ R- | BTdecayLasso_0.1.1.tar.gz |
20.5 KiB |
0.1.1 |
latest linux/jammy R-4.5 | BTdecayLasso_0.1.1.tar.gz |
94.7 KiB |
0.1.1 |
latest linux/noble R-4.5 | BTdecayLasso_0.1.1.tar.gz |
94.6 KiB |
0.1.1 |
latest source/ R- | BTdecayLasso_0.1.1.tar.gz |
20.5 KiB |
0.1.1 |
2026-04-26 source/ R- | BTdecayLasso_0.1.1.tar.gz |
20.5 KiB |
0.1.1 |
2026-04-23 source/ R- | BTdecayLasso_0.1.1.tar.gz |
20.5 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | BTdecayLasso_0.1.1.zip |
98.1 KiB |
0.1.1 |
2025-04-20 source/ R- | BTdecayLasso_0.1.1.tar.gz |
20.5 KiB |