The package provides functions to carry out a Goodness-of-fit test for discrete multivariate data. It is tested if a given observation is likely to have occurred under the assumption of an ab-initio model. A p-value can be calculated using different distance measures between observed and expected frequencies. A Monte Carlo method is provided to make the package capable of solving high-dimensional problems.
copied from cf-staging / r-emt
https://anaconda.org/conda-forge/r-emt/badges/version.svg
https://anaconda.org/conda-forge/r-emt/badges/latest_release_date.svg
https://anaconda.org/conda-forge/r-emt/badges/latest_release_relative_date.svg
https://anaconda.org/conda-forge/r-emt/badges/platforms.svg
https://anaconda.org/conda-forge/r-emt/badges/license.svg
https://anaconda.org/conda-forge/r-emt/badges/downloads.svg