Class List

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

[detail level 12]

▼Nbio_expression
Cabs	Class representing the expression for absolute value
CBeta	Class representing a parameter to be estimated
CBinOp	Generic class for binary operators
CbioBayesNormalDraw	Class performing draws from the posterior of the mean of a normal variable knowing realizations and variance
CbioDraws	Class representing a random variable for integration using Monte Carlo simulation
CbioLogit	Class calculating a logit choice probability
CbioLogLogit	Class calculating the log of a logit choice probability
CbioMultSum	Class computing the sum of multiple expressions
CbioNormalCdf	Class representing the cumulative distribution function of the normal distribution
CbioNormalDraws	Class representing a normally distributed random variable for simulated integration
CbioNormalPdf	Class representing the probability density function of a standardized normally distributed random variable
CbioRecycleDraws	Class representing the uniform draw of a random variable used for integration using Monte Carlo simulation
CbioUniformDraws	Class representing a uniformly distributed random variable on [0,1] for simulated integration
CbioUniformSymmetricDraws	Class representing a uniformly distributed random variable on [-1,1] for simulated integration
CDefineDraws	Class representing the definition of a new type of draws
CDefineVariable	Class representing the definition of a new variable
CDerive	Class generating the analytical derivative of an expression
CElem	Class extracting an expression from a dictionary
CEnumerate	Class performing a sample enumeration
Cexp	Class representing the expression for exponential
CExpression	Interface for mathematical expressions
CIntegrate	Class performing numerical integration relying on the Gauss-Hermite quadrature to compute
Clog	Class representing the expression for natural logarithm
Cmax	Class representing the expression for the maximum of two expressions
CMH	Class performing draws from densities for Bayesian estimation using Metropolis-Hastings algorithm
Cmin	Class representing the expression for the minimum of two expressions
CMonteCarlo	Class representing the Monte Carlo integration of an expression
CMonteCarloControlVariate	Class representing the Monte Carlo integration of an expression, using a control variate method to decrease the variance
CNumeric	Class wrapping an integer or a float value
COperator	Generic class for an operator
CProd	Class representing the product of the same expression applied to a list of data
CRandomVariable	Class representing a random variable for numerical integration
CSum	Class representing the sum of the same expression applied to a list of data
CUnOp	Generic class for unary operators
CVariable	Class representing the variables defined in the data file
▼Nbio_iterator
CdrawIterator	Iterates on the data file for generate the user defined draws (since biogeme 2.4)
Citerator	Generic class for an iterator
CmetaIterator	Meta iterators are designed to iterate on group of rows of the data file
CrowIterator	Row iterators are designed to iterate on rows of the data file
▼Nbiogeme
CBIOGEME_OBJECT	This class gathers the components needed by biogeme to perform the estimation or the simulation
CSTAN	Class used for generating STAN files (see http://mc-stan.org)
▼NbioMatrix
CbioMatrix	This class implements a matrix object designed to store the variance covariance matrix