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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 |