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intRinsic  

Likelihood-Based Intrinsic Dimension Estimators
View on CRAN: Click here


Download and install intRinsic package within the R console
Install from CRAN:
install.packages("intRinsic")

Install from Github:
library("remotes")
install_github("cran/intRinsic")

Install by package version:
library("remotes")
install_version("intRinsic", "1.1.2")



Attach the package and use:
library("intRinsic")
Maintained by
Francesco Denti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-13
Latest Update: 2024-09-12
Description:
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, ); Allegra et al. (2020, ); Denti et al. (2022, ); Facco et al. (2017, ); Santos-Fernandez et al. (2021, ).
How to cite:
Francesco Denti (2022). intRinsic: Likelihood-Based Intrinsic Dimension Estimators. R package version 1.1.2, https://cran.r-project.org/web/packages/intRinsic. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:49), 0.2.0 (2022-01-13 19:52), 0.2.1 (2022-05-31 11:30), 0.2.2 (2022-12-18 09:10), 1.0.0 (2023-04-06 11:03), 1.0.1 (2023-04-26 18:10), 1.0.2 (2024-01-15 13:50), 1.1.0 (2024-09-12 19:10), 1.1.1 (2025-09-24 20:20)
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Complete documentation for intRinsic
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