Package: BTdecayLasso 0.1.1

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>.

Authors:Yunpeng Zhou [aut, cre], Jinfeng Xu [aut]

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Bug tracker:https://github.com/heilokchow/btdecaylasso/issues

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Last updated 10 months agofrom:7c037086fa. Checks:OK: 7. Indexed: yes.

Exports:boot.BTdecayLassoBTdataframeBTdecayBTdecayLassoBTdecayLassoCBTdecayLassoF

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenloptrnumDerivoptimxpillarpkgconfigpracmaR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr