Learn R Programming

NetworkChange (version 0.8)

Bayesian Package for Network Changepoint Analysis

Description

Network changepoint analysis for undirected network data. The package implements a hidden Markov network change point model (Park and Sohn (2020)). Functions for break number detection using the approximate marginal likelihood and WAIC are also provided.

Copy Link

Version

Install

install.packages('NetworkChange')

Monthly Downloads

179

Version

0.8

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Jong Hee Park

Last Published

March 4th, 2022

Functions in NetworkChange (0.8)

NetworkStatic

Degree-corrected multilinear tensor model
MarginalCompare

Compare Log Marginal Likelihood
BreakDiagnostic

Detect a break number using different metrics
MajorAlly

Major Power Alliance Network (1816 - 2012)
NetworkChange

Changepoint analysis of a degree-corrected multilinear tensor model
NetworkChangeRobust

Changepoint analysis of a degree-corrected multilinear tensor model with t-distributed error
BreakPointLoss

Compute the Average Loss of Hidden State Changes from Expected Break Points
MakeBlockNetworkChange

Build a synthetic block-structured temporal data with breaks
plotContour

Contour plot of latent node positions
PostwarAlly

Postwar Alliance Network (1846 - 2012)
ULUstateSample

Hidden State Sampler
plotnetarray

Plot of network array data
plotV

Plot of layer-specific network generation rules.
updateUm

Regime-specific latent node positions
updates2m

Update regime-specific variance
updateU

Update time-constant latent node positions
drawPostAnalysis

Plot of latent node cluster
startS

Sample a starting value of hidden states
drawRegimeRaw

Plot of network by hidden regime
startUV

Starting values of U and V
ULUstateSample.mpfr

Hidden State Sampler with precision
updateb

Update time-constant regression parameters
plotU

Plot of latent node positions
kmeansU

K-mean clustering of latent node positions
updatebm

Update regime-changing regression parameters
multiplot

Printing multiple ggplots in oone file
updateV

Update layer specific network generation rules
updateP

Update transition matrix
WaicCompare

Compare WAIC
updateS

Update latent states
updateVm

Update V from a change-point network process