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, ); Denti et al. (2022+, ); Facco et al. (2017, ); Santos-Fernandez et al. (2021, ).


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install.packages("intRinsic")

0.2.0 by Francesco Denti, 6 days ago


https://github.com/Fradenti/intRinsic


Browse source code at https://github.com/cran/intRinsic


Authors: Francesco Denti [aut, cre, cph] , Andrea Gilardi [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, FNN, ggplot2, knitr, MCMCpack, pheatmap, Rcpp, reshape2, rlang, salso, stats, utils

Linking to Rcpp, RcppArmadillo


See at CRAN