dot-calcPenalty: Calculate penalty based on data

In sysbiomed/glmSparseNet: Network Centrality Metrics for Elastic-Net Regularized Models

Calculate penalty based on data

Description

Internal method to calculate the network using data-dependant methods

Usage

.calcPenalty(xdata, penaltyType, options = networkOptions())

Arguments

xdata	input data
penaltyType	which method to use
options	options to be used

Value

vector with penalty weights

Examples

xdata <- matrix(rnorm(1000), ncol = 200)
glmSparseNet:::.calcPenalty(xdata, "none")
glmSparseNet:::.calcPenalty(
    xdata, "correlation",
    networkOptions(cutoff = .6)
)
glmSparseNet:::.calcPenalty(xdata, "correlation")
glmSparseNet:::.calcPenalty(
    xdata, "covariance",
    networkOptions(cutoff = .6)
)
glmSparseNet:::.calcPenalty(xdata, "covariance")

sysbiomed/glmSparseNet documentation built on Feb. 17, 2024, 1:38 p.m.