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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 (2022+, <arXiv:2102.11425>); 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>).

copied from cf-post-staging / r-intrinsic
Type Size Name Uploaded Downloads Labels
conda 476.3 kB | osx-64/r-intrinsic-0.2.1-r41h910fb29_0.conda  2 years and 7 months ago 246 main
conda 476.3 kB | osx-64/r-intrinsic-0.2.1-r42h910fb29_0.conda  2 years and 7 months ago 242 main
conda 471.1 kB | linux-64/r-intrinsic-0.2.1-r42h38f115c_0.conda  2 years and 7 months ago 2144 main
conda 471.5 kB | linux-64/r-intrinsic-0.2.1-r41h38f115c_0.conda  2 years and 7 months ago 2128 main

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