Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[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
CExpKernel	The Exponential triggering kernel
▼CGraph	Graph represents a given diffusion network structure
CNode	Defines a single node object
CParameter	The parameter of the pairwise Weibull distribution for the respective diffusion time
▼CHawkesGeneralKernel	HawkesGeneralKernel implements the multivariate Hawkes process with customized triggering kernels
COPTION	Options used to configure the fitting of the general Hawkes Process with customized triggering kernels
▼CHawkesLearningTriggeringKernel	HawkesLearningTriggeringKernel implements the multivariate Hawkes process where the triggering kernel can be learned from the data
COPTION	Options used to configure the fitting of the general Hawkes Process with learned triggering kernels
CIProcess	IProcess defines a general interface for each specific point process
▼CLowRankHawkesProcess	LowRankHawkesProcess implements the standard multivariate Hawkes process
COPTION	Options used to configure the fitting of the Low-rank Hawkes process
COgataThinning	This class implements the general Simulator based on Ogata's Thinning algorithm
COptimizer	Optimizer encapsulates a collection of optimization algorithms used in the toolbox
▼CPlainHawkes	PlainHawkes implements the standard multivariate Hawkes process
COPTION	Options used to configure the fitting of the standard Hawkes Process
▼CPlainTerminating	PlainTerminating implements the multivariate terminating process
COPTION	Options used to configure the fitting of the terminating point process
CPlot	Plot is a wrapper of the GNU plot
CPoisson	Poisson implements the multivariate homogeneous process
CPowerlawKernel	The Power-Law triggering kernel
CRayleighKernel	The Rayleigh triggering kernel
▼CSelfInhibitingProcess	SelfInhibitingProcess implements the standard multivariate Self-inhibiting (or self-correcting) process
COPTION	Options used to configure the fitting of the terminating point process
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
CSineKernel	The Sine triggering kernel
▼CTerminatingProcessLearningTriggeringKernel	TerminatingProcessLearningTriggeringKernel implements the multivariate terminating process where the pairwise infection risk function can be learned from the data
COPTION	Options used to configure the fitting of the general Hawkes Process with learned triggering kernels
CTriggeringKernel	TriggeringKernel defines a general triggering kernel object of Hawkes process