intRinsic

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).

Last 30 days

This package has been downloaded 228 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,094 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 24, 2024 with 35 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.