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Welcome

Rproject for ppsbm

CREATE PACKAGE:

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.
Then Clean and Rebuild

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Version

Install

install.packages('ppsbm')

Monthly Downloads

150

Version

0.2.2

License

GPL (>= 2)

Maintainer

Daphnc3<a9> Giorgi

Last Published

March 19th, 2018

Functions in ppsbm (0.2.2)

confidenceInterval

Confidence Interval

bootstrap_and_CI

Bootstrap and Confidence Interval

convertNodePair

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

ARI

Adjusted Rand Index (ARI)

JEvalMstep

Evaluation of criterion J

convertGroupPair

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

VEstep

VE step

generatePPConst

Poisson process with piecewise constant intensities

find_ql_diff

Convert index into group pair in tauDown_Q

Generated graph with 50 individuals and 3 clusters

correctTau

Handling of values of \(\tau\)

sortIntensities

Sort intensities

Mstep_hist

M step for histograms

find_ql

Convert index into group pair

statistics

Compute statistics

generated_sol_kernel

Generated solution with kernel method

generateDynppsbmConst

Data under dynppsbm with piecewise constant intensities

kernelIntensities

Direct kernel estimator intensities

taurhoInitial

Sparse setup - \(\rho\) parameter

generated_Q3_n20

Generated graph with 20 individuals and 3 clusters

VEM step for parallel version

generated_sol_hist

Generated solution with histogram method

mainVEM

Adaptative VEM algorithm

modelSelec_QPlot

Plots for model selection

tauUp_Q

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

modelSelection_Q

Selects the number of groups with ICL

permuteZEst

Optimal matching between 2 clusterings

tauDown_Q

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

tauInitial

List of initial values for \(\tau\)