aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
stattests Directory Reference
Directory dependency graph for stattests:

Files

 
idCondSet.cpp
 Implementation of idSets.
 
idCondSet.h
 A class used by learning caches to represent uniquely sets of variables.
 
idCondSet_inl.h
 Template implementation of idSets.
 
independenceTest.cpp
 Implementation of gum::learning::IndependenceTest.
 
independenceTest.h
 the base class for all the independence tests used for learning
 
independenceTest_inl.h
 the base class for all the independence tests used for learning
 
indepTestChi2.cpp
 Implementation of gum::learning::IndepTestChi2.
 
indepTestChi2.h
 the class for computing Chi2 scores
 
indepTestChi2_inl.h
 the class for computing Chi2 scores
 
indepTestG2.cpp
 Implementation of gum::learning::IndepTestG2.
 
indepTestG2.h
 the class for computing G2 scores
 
indepTestG2_inl.h
 the class for computing G2 scores
 
kNML.cpp
 Implementation of gum::learning::kNML.
 
kNML.h
 The class for the NML penalty used in MIIC.
 
kNML_inl.h
 The class for the NML penalty used in MIIC.
 
pseudoCount.cpp
 Implementation of gum::learning::PseudoCount.
 
pseudoCount.h
 the base class for all the independence tests used for learning
 
pseudoCount_inl.h
 the base class for all the independence tests used for learning
 
recordCounter.cpp
 The class that computes counts of observations from the database.
 
recordCounter.h
 The class that computes counting of observations from the database.
 
recordCounter_inl.h
 
recordCounter_tpl.h
 The class that computes counts of observations from the database.
 
scoringCache.cpp
 a cache for caching scores and independence tests results
 
scoringCache.h
 a cache for caching scores and independence tests results
 
scoringCache_inl.h
 a cache for caching scores and independence tests results