robinGPTest: robinGPTest

In robin: ROBustness in Network

robinGPTest

Description

This function implements the GP testing procedure and calculates the Bayes factor.

Usage

robinGPTest(model1, model2, verbose = FALSE)

Arguments

model1	The Mean output of the robinRobust function (or the Mean1 output of the robinCompare function).
model2	The MeanRandom output of the robinRobust function (or the Mean2 output of the robinCompare function).
verbose	flag for verbose output (default as FALSE).

Value

A numeric value, the Bayes factor

Examples

my_file <- system.file("example/football.gml", package="robin")
graph <- prepGraph(file=my_file, file.format="gml")
graphRandom <- random(graph=graph)
Proc <- robinRobust(graph=graph, graphRandom=graphRandom, 
method="louvain", measure="vi",type="independent")
robinGPTest(model1=Proc$Mean,model2=Proc$MeanRandom)

robin documentation built on May 17, 2022, 1:07 a.m.