intRinsic-package: intRinsic: Likelihood-Based Intrinsic Dimension Estimators

In Fradenti/intRinsic: Likelihood-Based Intrinsic Dimension Estimators

intRinsic: Likelihood-Based Intrinsic Dimension Estimators

Description

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, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v106.i09")}); Allegra et al. (2020, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41598-020-72222-0")}); Denti et al. (2022, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41598-022-20991-1")}); Facco et al. (2017, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41598-017-11873-y")}); Santos-Fernandez et al. (2021, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/s41598-022-20991-1")}).

Author(s)

Maintainer: Francesco Denti [e-mail] (ORCID) [copyright holder]

Authors:

• Andrea Gilardi [e-mail] (ORCID)

See Also

Useful links:

• https://github.com/Fradenti/intRinsic

• Report bugs at https://github.com/fradenti/intRinsic/issues

Fradenti/intRinsic documentation built on Sept. 15, 2024, 4:37 a.m.