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This package implements the Hierarchical Vintage Sparse PCA (Hvsp) methodology and is built upon the HCD package.

  • Hvsp() produces the centrality estimation and regression coefficient estimation of the commonly used two-stage procedure.

It also includes functions in the HCD package:

  • HCD() applies the hierarchical community detection (HCD) by Li et al. (2020).
  • BTSBM() generates network from the binary tree stochastic block model by Li et al. (2020).

Installation

You can install the development version of Hvsp from GitHub with:

if (!require("devtools")){
    install.packages("devtools")
}
devtools::install_github("cccfran/Hvsp")

Example

This is a basic example which shows you how to use Hvsp on a network:

library(Hvsp)

# load a citation network
data(citation)

# apply citation network
Hvsp(citation)