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
Config/pak/sysreqs: cmake
Repository: https://heilokchow.r-universe.dev
Date/Publication: 2023-12-07 08:51:51 UTC
RemoteUrl: https://github.com/heilokchow/btdecaylasso
RemoteRef: HEAD
RemoteSha: 7c037086fab692fa6923bbf8cd6db7210131560a
NeedsCompilation: no
Packaged: 2026-07-09 06:11:52 UTC; root
Author: Yunpeng Zhou [aut, cre],
  Jinfeng Xu [aut]
Maintainer: Yunpeng Zhou <u3514104@connect.hku.hk>