autoplot.twonn_mle

Use this method without the <code>.twonn_mle</code> suffix.
The function returns the point estimate along with the confidence bands
computed via the <code>mle</code> method.

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

autoplot.twonn_mle function

<dl><dt>object</dt>
<dd>object of class <code>twonn_mle</code>, the output of the
<code>twonn</code> function when <code>method = "mle"</code>.</dd>
<dt>title</dt>
<dd>character string used as title of the plot.</dd>
<dt>...</dt>
<dd>other arguments passed to specific methods.</dd></dl>

Arguments

Plot the output of the TWO-NN model estimated via the Maximum
Likelihood approach — autoplot.twonn_mle

<dl>

<dt>object</dt>
<dd>object of class <code>twonn_mle</code>, the output of the
<code>twonn</code> function when <code>method = "mle"</code>.</dd>


<dt>title</dt>
<dd>character string used as title of the plot.</dd>


<dt>...</dt>
<dd>other arguments passed to specific methods.</dd>

</dl>

autoplot.twonn_mle: Plot the output of the `TWO-NN` model estimated via the Maximum Likelihood approach

Description

Usage

Value

Arguments

See Also