auxHidalgo

posterior_means

initial_values

posterior_medians

credible_intervals

Collection of functions used to extract meaningful information from the object returned
by the function <code>Hidalgo</code>

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>).

Francesco Denti

intRinsic

Likelihood-Based Intrinsic Dimension Estimators

Andrea Gilardi

auxHidalgo function

<dl><dt>x</dt>
<dd>object of class <code>Hidalgo</code>, the output of the
<code>Hidalgo()</code> function.</dd>
<dt>alpha</dt>
<dd>posterior probability contained in the computed credible
interval.</dd></dl>

Arguments

Auxiliary functions for the Hidalgo model — auxHidalgo

<dl>

<dt>x</dt>
<dd>object of class <code>Hidalgo</code>, the output of the
<code>Hidalgo()</code> function.</dd>


<dt>alpha</dt>
<dd>posterior probability contained in the computed credible
interval.</dd>

</dl>

auxHidalgo: Auxiliary functions for the `Hidalgo` model

Description

Usage

Value

Arguments