intRinsic: Likelihood-Based Intrinsic Dimension Estimators

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. References: Allegra et al. (2020, <doi:10.1038/s41598-020-72222-0>); Denti et al. (2022+, <arXiv:2104.13832>); Facco et al. (2017, <doi:10.1038/s41598-017-11873-y>); Santos-Fernandez et al. (2021, <arXiv:1902.10459>).

Version: 0.2.0
Depends: R (≥ 3.6.0)
Imports: dplyr, FNN, ggplot2, knitr, MCMCpack, pheatmap, Rcpp, reshape2, rlang, salso, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-01-13
Author: Francesco Denti ORCID iD [aut, cre, cph], Andrea Gilardi ORCID iD [aut]
Maintainer: Francesco Denti <francescodenti.personal at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/Fradenti/intRinsic
NeedsCompilation: yes
Citation: intRinsic citation info
Materials: README NEWS
CRAN checks: intRinsic results

Documentation:

Reference manual: intRinsic.pdf

Downloads:

Package source: intRinsic_0.2.0.tar.gz
Windows binaries: r-devel: intRinsic_0.2.0.zip, r-release: intRinsic_0.2.0.zip, r-oldrel: intRinsic_0.2.0.zip
macOS binaries: r-release (arm64): intRinsic_0.2.0.tgz, r-release (x86_64): intRinsic_0.2.0.tgz, r-oldrel: not available

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