Likelihood-Based Intrinsic Dimension Estimators.

intRinsic v1.0.1.9000

A package with 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.

To install the package from CRAN, run

install.packages("intRinsic")

To install the package from this GitHub repository, run

# install.packages("remotes")

#Turn off warning-error-conversion regarding package versions
Sys.setenv("R_REMOTES_NO_ERRORS_FROM_WARNINGS" = "true")

#install from github
remotes::install_github("Fradenti/intRinsic")

Simple example on Swissroll dataset

library(intRinsic)
X <- Swissroll(2000)
twonn(X)

The vignette for this package has been published in the Journal of Statistical Software. The article can be found at this link, and a preprint version is also available on ArXiv at this link.

Please help me improve this package by reporting suggestions, typos, and issues at this link.

Please note that the previous versions of the package (from v0.1.0 to v1.0.0) are still available as GitHub Releases at this page.