Package: BTdecayLasso
Type: Package
Title: Bradley-Terry Model with Exponential Time Decayed Log-Likelihood
        and Adaptive Lasso
Version: 0.1.1
Authors@R: c(person("Yunpeng", "Zhou", email = "u3514104@connect.hku.hk", role = c("aut","cre")),
             person("Jinfeng", "Xu", role = "aut"))
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) <doi:10.1214/12-AOAS581>.
Imports: optimx, ggplot2, stats
License: GPL (>= 2)
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-12-07 09:07:49 UTC; micha
Author: Yunpeng Zhou [aut, cre],
  Jinfeng Xu [aut]
Maintainer: Yunpeng Zhou <u3514104@connect.hku.hk>
Repository: CRAN
Date/Publication: 2023-12-07 11:40:02 UTC
Built: R 4.2.3; ; 2023-12-07 14:07:28 UTC; unix
