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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: |
1.1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
dplyr, FNN, ggplot2, knitr, latex2exp, Rcpp, reshape2, rlang, stats, utils, salso |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2024-09-12 |
| 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 + file LICENSE |
| URL: |
https://github.com/Fradenti/intRinsic |
| NeedsCompilation: |
yes |
| Citation: |
intRinsic citation info |
| Materials: |
README NEWS |
| CRAN checks: |
intRinsic results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=intRinsic
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.