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. In addition, the first reference contains an extended vignette on the usage of the 'TWO-NN' and 'Hidalgo' models. References: Denti (2023, <doi:10.18637/jss.v106.i09>); 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>).
| Version: | 1.1.1 |
| Depends: | R (≥ 4.2.0) |
| Imports: | dplyr,FNN,ggplot2,knitr,latex2exp,Rcpp,reshape2,rlang, stats, utils,salso |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2025-09-24 |
| DOI: | 10.32614/CRAN.package.intRinsic |
| Author: | Francesco Denti [aut, cre, cph], Andrea Gilardi [aut] |
| Maintainer: | Francesco Denti <francescodenti.personal at gmail.com> |
| BugReports: | https://github.com/fradenti/intRinsic/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/Fradenti/intRinsic |
| NeedsCompilation: | yes |
| Citation: | intRinsic citation info |
| Materials: | README,NEWS |
| CRAN checks: | intRinsic results |
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