Package: BTdecayLasso
Type: Package
Title: Bradley-Terry Model with Exponential Time Decayed Log-Likelihood
        and Adaptive Lasso
Version: 0.1.0
Authors@R: c(person("Yunpeng", "Zhou", email = "michael.zhou.hku@gmail.com", role = c("aut","cre")),
             person("Jinfeng", "Xu", role = "aut"))
Description: We apply Bradley-Terry Model to estimate teams' ability in paired comparison data. Exponential Decayed Log-likelihood function is applied for dynamic approximation of current rankings and Lasso penalty is applied 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: optimr, ggplot2, stats
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-24 15:18:05 UTC; micha
Author: Yunpeng Zhou [aut, cre],
  Jinfeng Xu [aut]
Maintainer: Yunpeng Zhou <michael.zhou.hku@gmail.com>
Repository: CRAN
Date/Publication: 2018-06-27 14:58:34 UTC
Built: R 4.1.0; ; 2021-05-27 08:00:29 UTC; unix
