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 |