About Anaconda Help Download Anaconda

Provides functions to estimate the intrinsic dimension of a dataset via likelihood-based approaches. Specifically, the package implements the 'TWO-NN' and 'Gride' estimators and the 'Hidalgo' Bayesian mixture model. In addition, the first reference contains an extended vignette on the usage of the 'TWO-NN' and 'Hidalgo' models. References: Denti (2022+, <arXiv:2102.11425>); Allegra et al. (2020, <doi:10.1038/s41598-020-72222-0>); Denti et al. (2022, <doi:10.1038/s41598-022-20991-1>); Facco et al. (2017, <doi:10.1038/s41598-017-11873-y>); Santos-Fernandez et al. (2021, <doi:10.1038/s41598-022-20991-1>).

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

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