Class List

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

[detail level 123]

▼Nvmcmc
CAlgorithm	Abstract base class for the core MCMC sampling algorithms
CChainSetStatistics	Manages a list of ChainStatistics and calculates statistical properties regarding sets of individual chains
CChainStatistics	Calculates statistical momenta and properties for a given Chain of Samples
CException	Base class for exceptions thrown by FastMCMC
Cis_container	Typetrait checking for STL like container structure
▼CLogger	A simple MACRO-focussed logging facility
CLocation	A simple struct used by the Logger macros to pass information about the filename and line number
▼CMetropolisHastings	Implementation of the Metropolis-Hastings algorithm
CChainConfig	Private class encapsulating Sample chains for parallel tempering
CParameter	This class represents a fit parameter of the target function to be sampled from
CParameterConfig	A list of parameters, describing the parameter space of the target function to be evaluated
CProposal	Base class for proposal functions (alias transition kernels) used by Metropolis-Hastings algorithms to propose a new point in the parameter space
CProposalDistribution	Abstract proposal function class, which randomly draws from a multivariate random distribution centered at current sample / parameter vector
CProposalNormal	Proposal function drawing randomly from a multivariate normal distribution
CProposalStudentT	Proposal function drawing randomly from a multivariate Student-T distribution
CRandomPrototype	A thread-safe interface for STL style pesudo random number generators (PRNG)
CSample	A 'sample' represents a node or data point in a Markov Chain
CTextFileWriter	A writer streaming incoming samples to textfiles
CWriter	Abstract base class for mechanisms writing output files or producing visual output