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r / packages / r-tdboost

An implementation of a boosted Tweedie compound Poisson model proposed by Yang, Y., Qian, W. and Zou, H. (2018) <doi:10.1080/07350015.2016.1200981>. It is capable of fitting a flexible nonlinear Tweedie compound Poisson model (or a gamma model) and capturing high-order interactions among predictors. This package is based on the 'gbm' package originally developed by Greg Ridgeway.

Type Size Name Uploaded Downloads Labels
conda 149.2 kB | linux-64/r-tdboost-1.4-r43h884c59f_0.tar.bz2  1 year and 2 months ago 23 main
conda 147.5 kB | linux-64/r-tdboost-1.2-r42h884c59f_0.tar.bz2  2 years and 9 months ago 53 main

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