The William and Mary Bayesian Analysis Tool


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Documentation for package ‘rWMBAT’ version 2.0

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rWMBAT-package The William and Mary Bayesian Analysis Tool
adjmat Example Data
adjmat1 Example Data
adjmat2 Example Data
alignedPeakList Example Data
automi Finds A Threshold For Randomized MI(V C)
boundary Example Data
BuildBayesNet Selects Features And Metafeatures Based On Mutual Info
ChooseMetaVars ChooseMetaVars Attempts To Combine Variables into Better Variables
clearirrarcs Clears Arcs That Are Not C->V Or C->V<->V
clipclassconnections Delinks Variables From Class
CondMutualInfo Calculates The Mutual Information Of Two Variables Conditioned On A Third
DoTheMath Takes A Data Set And Performs Feature Selection
drop Example Data
ff Example Data
finaldata Example Data
findmutualinfos Finds Various Mutual Info Combos among Variables
FindProbTables Estimates The Probabilities P(class=c|data=D)
getarcs Builds The Adjacency Matrix For A Set Of Variables
In Example Data
InitialProcessing INITIALPROCESSING Inital Prep of Data from Signal Processing
looklr Finds Boundary
miCalc C code to Speed the Calculation of Mutual Information
mi_vc Example Data
mi_vc_v Example Data
mi_vv Example Data
MutualInfo Calculates Mutual Information Of The Two Variables
nfold Example Data
opt2bin Finds The Best Single Boundary For Each Variable To Maximize MI
opt3bin Find 3 Bin Boundaries Optimizing the MI of Each Variable
Options Example Data
prior Example Data
ptable Example Data
repeats Example Data
Repmat Creates A Large Matrix Consisting Of An m-by-n Tiling Of Copies Of x
rWMBAT The William and Mary Bayesian Analysis Tool
TestCases Uses Bayes Rule To Classify A Case
testgrpbin Example Data
threshold Example Data
tofListMetaData Example Data
traingrp Example Data
traingrpbin Example Data
traingrpclass Example Data
vcthreshold Example Data
vvthreshold Example Data
WMBAT The William and Mary Bayesian Analysis Tool