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An adaptation of Kernelized Stein Discrepancy, this package provides a goodness-of-fit test of whether a given i.i.d. sample is drawn from a given distribution. It works for any distribution once its score function (the derivative of log-density) can be provided. This method is based on "A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation" by Liu, Lee, and Jordan, available at <arXiv:1602.03253>.

Type Size Name Uploaded Downloads Labels
conda 227.6 kB | noarch/r-ksd-1.0.1-r43h142f84f_0.tar.bz2  1 year and 7 days ago 19 main
conda 227.5 kB | noarch/r-ksd-1.0.1-r42h142f84f_0.tar.bz2  2 years and 6 months ago 49 main
conda 76.5 kB | noarch/r-ksd-1.0.0-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 116 main

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