Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12]

CConTinEst	ConTinEst implements the scalable influence estimation algorithm
CDiagnosis	Diagnosis implements the basic residual analysis for a given general point process
CEvent	Event contains simple attributes of an event point
CGraph	Graph represents a given diffusion network structure
▼CIProcess	IProcess defines a general interface for each specific point process
CHawkesGeneralKernel	HawkesGeneralKernel implements the multivariate Hawkes process with customized triggering kernels
CHawkesLearningTriggeringKernel	HawkesLearningTriggeringKernel implements the multivariate Hawkes process where the triggering kernel can be learned from the data
CLowRankHawkesProcess	LowRankHawkesProcess implements the standard multivariate Hawkes process
CPlainHawkes	PlainHawkes implements the standard multivariate Hawkes process
CPlainTerminating	PlainTerminating implements the multivariate terminating process
CPoisson	Poisson implements the multivariate homogeneous process
CSelfInhibitingProcess	SelfInhibitingProcess implements the standard multivariate Self-inhibiting (or self-correcting) process
CTerminatingProcessLearningTriggeringKernel	TerminatingProcessLearningTriggeringKernel implements the multivariate terminating process where the pairwise infection risk function can be learned from the data
CGraph::Node	Defines a single node object
COptimizer	Optimizer encapsulates a collection of optimization algorithms used in the toolbox
CPlainHawkes::OPTION	Options used to configure the fitting of the standard Hawkes Process
CTerminatingProcessLearningTriggeringKernel::OPTION	Options used to configure the fitting of the general Hawkes Process with learned triggering kernels
CPlainTerminating::OPTION	Options used to configure the fitting of the terminating point process
CHawkesGeneralKernel::OPTION	Options used to configure the fitting of the general Hawkes Process with customized triggering kernels
CHawkesLearningTriggeringKernel::OPTION	Options used to configure the fitting of the general Hawkes Process with learned triggering kernels
CSelfInhibitingProcess::OPTION	Options used to configure the fitting of the terminating point process
CLowRankHawkesProcess::OPTION	Options used to configure the fitting of the Low-rank Hawkes process
CGraph::Parameter	The parameter of the pairwise Weibull distribution for the respective diffusion time
CPlot	Plot is a wrapper of the GNU plot
CSequence	Sequence encapsulates the operations on a sequence of events
CSimpleRNG	A simple C++ random number generator from John D. Cook
▼CSimulator	Simulator defines a general simulator for point processes
COgataThinning	This class implements the general Simulator based on Ogata's Thinning algorithm
▼CTriggeringKernel	TriggeringKernel defines a general triggering kernel object of Hawkes process
CExpKernel	The Exponential triggering kernel
CPowerlawKernel	The Power-Law triggering kernel
CRayleighKernel	The Rayleigh triggering kernel
CSineKernel	The Sine triggering kernel