get_lambda

Estimate an appropriate value for the ridge penalty (lambda).

Efficient framework for ridge redundancy analysis (rrda),
tailored for high-dimensional omics datasets where the number of
predictors exceeds the number of samples. The method leverages
Singular Value Decomposition (SVD) to avoid direct inversion of the
covariance matrix, enhancing scalability and performance. It also
introduces a memory-efficient storage strategy for coefficient
matrices, enabling practical use in large-scale applications. The
package supports cross-validation for selecting regularization
parameters and reduced-rank dimensions, making it a robust and
flexible tool for multivariate analysis in omics research. Please
refer to our article (Yoshioka et al., 2025) for more details.

Julie Aubert

rrda

Ridge Redundancy Analysis for High-Dimensional Omics Data

Hayato Yoshioka

Tristan Mary-Huard

get_lambda function

<dl><dt>Y</dt>
<dd>A numeric matrix of response variables.</dd>
<dt>X</dt>
<dd>A numeric matrix of explanatory variables.</dd>
<dt>scale.X</dt>
<dd>Logical indicating if <code>X</code> is scaled. Default is <code>FALSE</code>.</dd>
<dt>sample.X</dt>
<dd>A number of variables sampled from X for the lamdba range estimate. Default is 1000.</dd>
<dt>sample.Y</dt>
<dd>A number of variables sampled from Y for the lamdba range estimate. Default is 1000.</dd>
<dt>num.lambda</dt>
<dd>A number of lambda generated. Default is 50.</dd></dl>

Arguments

Estimate an appropriate value for the ridge penalty (lambda). — get_lambda

<dl>

<dt>Y</dt>
<dd>A numeric matrix of response variables.</dd>


<dt>X</dt>
<dd>A numeric matrix of explanatory variables.</dd>


<dt>scale.X</dt>
<dd>Logical indicating if <code>X</code> is scaled. Default is <code>FALSE</code>.</dd>


<dt>sample.X</dt>
<dd>A number of variables sampled from X for the lamdba range estimate. Default is 1000.</dd>


<dt>sample.Y</dt>
<dd>A number of variables sampled from Y for the lamdba range estimate. Default is 1000.</dd>


<dt>num.lambda</dt>
<dd>A number of lambda generated. Default is 50.</dd>

</dl>

get_lambda: Estimate an appropriate value for the ridge penalty (lambda).

Description

Usage

Value

Arguments