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Rproject for ppsbm


CREATE PACKAGE:

  1. Run in the R console

    devtools::load_all()

    roxygen2::roxygenize()

    This will load data, create the 'man' folder with the Rmd help files and the NAMESPACE file.

  2. Then Clean and Rebuild


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Version

Install

install.packages('ppsbm')

Monthly Downloads

206

Version

1.0.0

License

GPL (>= 2)

Maintainer

Daphnc3<a9> Giorgi

Last Published

January 15th, 2025

Functions in ppsbm (1.0.0)

generateDynppsbm

Dynppsbm data generator
generatePP

Poisson process generator
correctTau

Handling of values of \(\tau\)
listNodePairs

List node pairs
generated_sol_hist

Output example of mainVEM
mainVEMPar

VEM step for parallel version
find_ql_diff

Convert index into group pair in tauDown_Q
permuteZEst

Optimal matching between 2 clusterings
find_ql

Convert index into group pair
modelSelection_Q

Selects the number of groups with ICL criterion
mainVEM

Adaptive VEM algorithm
tauDown_Q

Construct initial \(\tau\) from \(Q+1\)
tauInitial

List of initial values for \(\tau\)
kernelIntensities

Direct kernel estimator intensities
tauUp_Q

Construct initial \(\tau\) from \(Q-1\)
tauKmeansSbm

k-means for SBM
generated_sol_kernel

Output example of mainVEM
modelSelec_QPlot

Plots for model selection
sortIntensities

Sort intensities
statistics

Compute statistics
tauUpdate

Update \(\tau\)
taurhoInitial

Sparse setup - \(\rho\) parameter
VEstep

VE step
convertGroupPair

Convert group pair \((q,l)\)
ARI

Adjusted Rand Index (ARI)
convertNodePair

Convert node pair \((i,j)\)
bootstrap_and_CI

Bootstrap and Confidence Bands
generatePPConst

Poisson process with piecewise constant intensity
classInd

Function for k-means
generated_Q3_n20

Example dataset
Mstep_kernel

M step for kernel
confidenceInterval

Confidence Interval
JEvalMstep

Evaluation of criterion J
generated_Q3

Example dataset
Mstep_hist

M step for histograms
generateDynppsbmConst

Data under dynppsbm with piecewise constant intensities