localization_statistics: Compute localization statistics across various regularization...

In vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis

Compute localization statistics across various regularization parameters.

Description

Compute localization statistics across various regularization parameters.

Usage

localization_statistics(
  graph,
  max_rank,
  ...,
  tau_min = 10^-2,
  tau_max = 10^4,
  num_tau = 50
)

Arguments

graph	An igraph object or a sparse matrix.
max_rank	The maximum number of singular vectors to compute.
...	Additional arguments passed to as_csparse.
tau_min	The minimum value for the regularization parameter tau.
tau_max	The maximum value for the regularization parameter tau.
num_tau	The number of values of tau to test.

Value

A list of class localization_stats containing the results.

Examples

## Not run: 
library(igraphdata)
library(furrr)

data(karate, package = "igraphdata")

plan(multisession, workers = 2)

# karate is undirected, enron is directed

stats <- localization_statistics(karate, max_rank = 15, num_tau = 200)

plot_cumulative_curves(stats)
plot_ipr_curves(stats)

## End(Not run)

vsp documentation built on April 17, 2026, 1:07 a.m.