Likelihood-Based Intrinsic Dimension Estimators R package intRinsic version 1.1.2 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>). Software Depends: R (>= 4.2.0) Imports: dplyr, FNN, ggplot2, knitr, Rcpp, reshape2, rlang, stats, utils, salso LinkingTo: Rcpp, RcppArmadillo Francesco Denti <francescodenti.personal@gmail.com> Comprehensive R Archive Network (CRAN) Francesco Denti [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2978-4702>), Andrea Gilardi [aut] (ORCID: <https://orcid.org/0000-0002-9424-7439>) MIT + file LICENSE (https://CRAN.R-project.org/package=intRinsic/LICENSE) 2025-12-17 application/tgz https://CRAN.R-project.org/package=intRinsic doi:10.32614/CRAN.package.intRinsic