extract_np

Provides methods for distance covariance and distance correlation (Szekely, et al. (2007) <doi:10.1214/009053607000000505>), generalized version thereof (Sejdinovic, et al. (2013) <doi:10.1214/13-AOS1140>) and corresponding tests (Berschneider, Bottcher (2018) <doi:10.48550/arXiv.1808.07280>. Distance standard deviation methods (Edelmann, et al. (2020) <doi:10.1214/19-AOS1935>) and distance correlation methods for survival endpoints (Edelmann, et al. (2021) <doi:10.1111/biom.13470>) are also included.

Dominic Edelmann

dcortools

Providing Fast and Flexible Functions for Distance Correlation
Analysis

Jochen Fiedler

extract_np function

<dl><dt>X</dt>
<dd>a numeric vector or a numeric matrix.</dd>
<dt>type.X</dt>
<dd>either "sample" or "distance". If type.X = "sample", X must be
a numeric vector or numeric matrix with the corresponding observations. If metr.X = "distance",
X must be a distance matrix.</dd></dl>

Arguments

Extract the dimensions of X. — extract_np

<dl>

<dt>X</dt>
<dd>a numeric vector or a numeric matrix.</dd>


<dt>type.X</dt>
<dd>either "sample" or "distance". If type.X = "sample", X must be
a numeric vector or numeric matrix with the corresponding observations. If metr.X = "distance",
X must be a distance matrix.</dd>

</dl>

extract_np: Extract the dimensions of X.

Description

Usage

Value

Arguments