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barry: Your go-to motif accountant
0.0-1
Full enumeration of sample space and fast count of sufficient statistics for binary arrays
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| CBArray | Baseline class for binary arrays |
| CBArrayCell | |
| CBArrayCell_const | |
| CBArrayDense | Baseline class for binary arrays |
| CBArrayDenseCell | |
| CBArrayDenseCell_const | |
| CBArrayDenseCol | |
| CBArrayDenseCol_const | |
| CBArrayDenseRow | |
| CBArrayDenseRow_const | |
| CBArrayRow | |
| CBArrayRow_const | |
| CBArrayVector | Row or column of a BArray |
| CBArrayVector_const | |
| CCell | Entries in BArray. For now, it only has two members: |
| CCell_const | |
| CConstBArrayRowIter | |
| CCounter | A counter function based on change statistics |
| CCounters | Vector of counters |
| CDEFM | |
| CDEFMCounterData | Data class used to store arbitrary size_t or double vectors |
| CDEFMData | Data class for DEFM arrays |
| CDEFMRuleData | |
| CDEFMRuleDynData | |
| CEntries | A wrapper class to store source, target, val from a BArray object |
| CFlock | A Flock is a group of Geese |
| CFreqTable | Frequency table of vectors |
| CGeese | Annotated Phylo Model |
| CModel | General framework for discrete exponential models. This class allows generating discrete exponential models in the form of a linear exponential model: |
| CNetCounterData | Data class used to store arbitrary size_t or double vectors |
| CNetworkData | Data class for Networks |
| CNode | A single node for the model |
| CNodeData | Data definition for the PhyloArray class |
| CPhyloCounterData | |
| CPhyloRuleDynData | |
| CPowerSet | Powerset of a binary array |
| CProgress | A simple progress bar |
| CRule | Rule for determining if a cell should be included in a sequence |
| CRules | Vector of objects of class Rule |
| CStatsCounter | Count stats for a single Array |
| CSupport | Compute the support of sufficient statistics |
| CvecHasher |