About Anaconda Help Download Anaconda

Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) <DOI:10.3390/ijms161025897>.

copied from cf-staging / r-adaptgauss
Click on a badge to see how to embed it in your web page
badge
https://anaconda.org/conda-forge/r-adaptgauss/badges/version.svg
badge
https://anaconda.org/conda-forge/r-adaptgauss/badges/latest_release_date.svg
badge
https://anaconda.org/conda-forge/r-adaptgauss/badges/latest_release_relative_date.svg
badge
https://anaconda.org/conda-forge/r-adaptgauss/badges/platforms.svg
badge
https://anaconda.org/conda-forge/r-adaptgauss/badges/license.svg
badge
https://anaconda.org/conda-forge/r-adaptgauss/badges/downloads.svg

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.6) Legal | Privacy Policy