exampleData

An illustrative Functional Gaussian processes with different partially observed patterns
with outliers and without outliers.

datasets

Integrated Functional Depth for Partially Observed Functional Data and applications to visualization, outlier detection and classification. It implements the methods proposed in: Elías, A., Jiménez, R., Paganoni, A. M. and Sangalli, L. M., (2023), "Integrated Depth for Partially Observed Functional Data", Journal of Computational and Graphical Statistics, <doi:10.1080/10618600.2022.2070171>. Elías, A., Jiménez, R., & Shang, H. L. (2023), "Depth-based reconstruction method for incomplete functional data", Computational Statistics, <doi:10.1007/s00180-022-01282-9>. Elías, A., Nagy, S. (2024), "Statistical properties of partially observed integrated functional depths", TEST, <doi:10.1007/s11749-024-00954-6>.

Antonio El<c3><ad>as

fdaPOIFD

Partially Observed Integrated Functional Depth

Antonio Elías

Raúl Jiménez

Anna M. Paganoni

Laura M. Sangalli

Stanislav Nagy

Maximiliam Ofner

exampleData function

A list with three data sets (functions by columns):<dl>
<dt>PoFDintervals</dt>
<dd>Partially observed functional data in intervals</dd><dt>PoFDextremes</dt>
<dd>Partially Observed functional data with missing intervals at the extremes</dd><dt>PoFDextremes_outliers</dt>
<dd>Same as above but including two magnitude and shape outliers</dd><dt>PoFDintervals_list</dt>
<dd>Partially observed data without a common domain. Each function is one element of the list, containing the evaluation points (x) and the evaluated function (y).</dd>
</dl>

Format

exampleData — exampleData

A list with three data sets (functions by columns):<dl>
<dt>PoFDintervals</dt>
<dd>Partially observed functional data in intervals</dd>

<dt>PoFDextremes</dt>
<dd>Partially Observed functional data with missing intervals at the extremes</dd>

<dt>PoFDextremes_outliers</dt>
<dd>Same as above but including two magnitude and shape outliers</dd>

<dt>PoFDintervals_list</dt>
<dd>Partially observed data without a common domain. Each function is one element of the list, containing the evaluation points (x) and the evaluated function (y).</dd>


</dl>

exampleData: exampleData

Description

Usage

Arguments

Format

References

Examples