mcmc Class List

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

keh::Accumulate< false, T >
keh::Accumulate< true, T >
AdaptMetroStepT< T >	Implements Metropolis-Hastings step for a parameter
BadCol	Exception thrown on bad column index
BadCT
BadRow	Exception thrown on bad row index
BadValue
DataTable< Type >	Provides access to homogeneous tabular data
FunctionStepT< T >	Implements a deterministic node
lot	Provides a series of random number generators
MetroStepT< T >	Implements Metropolis-Hastings step for a parameter
Model	Implements the statistical model
ParameterBase	Pure virtual class provide interface for Parameter
ParameterT< T >	Base class for model parameters
Util::PrintForVector< T >
ratio	Provides a ratio class
SimpleStatistic	Implements a class for summary statistics
SliceStep	Implements a slice sampler
Statistic	Implements a class for summary statistics
Step< T >	Base class for all steps associated with one parameter type
StepBase	Base class for steps associated with different parameter types

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