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>.
https://anaconda.org/r/r-ksd/badges/version.svg
https://anaconda.org/r/r-ksd/badges/latest_release_date.svg
https://anaconda.org/r/r-ksd/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-ksd/badges/platforms.svg
https://anaconda.org/r/r-ksd/badges/license.svg
https://anaconda.org/r/r-ksd/badges/downloads.svg