intRinsic
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. 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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
rolling linux/jammy R-4.5 | intRinsic_1.1.2.tar.gz |
550.6 KiB |
1.1.2 |
rolling linux/noble R-4.5 | intRinsic_1.1.2.tar.gz |
553.7 KiB |
1.1.2 |
rolling source/ R- | intRinsic_1.1.2.tar.gz |
332.4 KiB |
1.1.2 |
latest linux/jammy R-4.5 | intRinsic_1.1.2.tar.gz |
550.6 KiB |
1.1.2 |
latest linux/noble R-4.5 | intRinsic_1.1.2.tar.gz |
553.7 KiB |
1.1.2 |
latest source/ R- | intRinsic_1.1.2.tar.gz |
332.4 KiB |
1.1.2 |
2026-04-26 source/ R- | intRinsic_1.1.2.tar.gz |
332.4 KiB |
1.1.2 |
2026-04-23 source/ R- | intRinsic_1.1.2.tar.gz |
332.4 KiB |
1.1.2 |
2026-04-09 windows/windows R-4.5 | intRinsic_1.1.2.zip |
958.0 KiB |
1.1.0 |
2025-04-20 source/ R- | intRinsic_1.1.0.tar.gz |
332.9 KiB |