Class List

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

[detail level 12]

CArray1D	Stores data of any type T in a 1D array
CArray1D< double >
CArray1D< int >
CArray2D	Stores data of any type T in a 2D array
CArray3D	Stores data of any type T in a 3D array
Cbase
CdataPosteriorInformation
CDFI
CDFIsurr
CGproc	Class for Gaussian processes
CKLDecompUni	Computes the Karhunen-Loeve decomposition of a univariate stochastic process
CLik_ABC	Derived class for ABC likelihood
CLik_ABCm	Derived class for ABC-mean likelihood
CLik_Classical	Derived class for classical likelihood
CLik_Eov	Derived class for error-in-variable likelihood
CLik_Full	Derived class for full likelihood
CLik_GausMarg	Derived class for gaussian-marginal likelihood
CLik_GausMargD	Derived class for gaussian-marginal likelihood with discrete parameter
CLik_Koh	Derived class for Kennedy-O'Hagan likelihood
CLik_Marg	Derived class for marginal likelihood
CLik_MVN	Derived class for mvn likelihood
CLogPosteriorBase
CLreg	Class for linear parameteric regression
Cmain
▼CMCMC	Markov Chain Monte Carlo base class. Implemented the basic and most general MCMC algorithms
Cchainstate
CoutputInfo
CMrv	Multivariate RV parameterized by PC expansions
CMyException
CObject
CparameterPosteriorInformation
CPCBasis	Contains all basis type specific definitions and operations needed to generate a PCSet
CPCreg	Derived class for PC regression
CPCSet	Defines and initializes PC basis function set and provides functions to manipulate PC expansions defined on this basis set
CPLreg	Derived class for polynomial regression
CPost	Posterior evaluation with various likelihood and prior options
▼CQuad	Generates quadrature rules
CQuadRule	Rule structure that stores quadrature points, weights and indices
CRBFreg	Derived class for RBF regression
CRefPtr
CXMLAttributeList
CXMLElement
CXMLExpatParser
CXMLParser