Biogeme: Python Library
2.5
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Cbiogeme.BIOGEME_OBJECT | This class gathers the components needed by biogeme to perform the estimation or the simulation |
▼Cbio_expression.Expression | Interface for mathematical expressions |
Cbio_expression.abs | Class representing the expression for absolute value |
Cbio_expression.Beta | Class representing a parameter to be estimated |
Cbio_expression.BinOp | Generic class for binary operators |
Cbio_expression.bioBayesNormalDraw | Class performing draws from the posterior of the mean of a normal variable knowing realizations and variance |
Cbio_expression.bioDraws | Class representing a random variable for integration using Monte Carlo simulation |
Cbio_expression.bioLogit | Class calculating a logit choice probability |
Cbio_expression.bioLogLogit | Class calculating the log of a logit choice probability |
Cbio_expression.bioMultSum | Class computing the sum of multiple expressions |
Cbio_expression.bioNormalCdf | Class representing the cumulative distribution function of the normal distribution |
Cbio_expression.bioNormalDraws | Class representing a normally distributed random variable for simulated integration |
Cbio_expression.bioNormalPdf | Class representing the probability density function of a standardized normally distributed random variable |
Cbio_expression.bioRecycleDraws | Class representing the uniform draw of a random variable used for integration using Monte Carlo simulation |
Cbio_expression.bioUniformDraws | Class representing a uniformly distributed random variable on [0,1] for simulated integration |
Cbio_expression.bioUniformSymmetricDraws | Class representing a uniformly distributed random variable on [-1,1] for simulated integration |
Cbio_expression.DefineDraws | Class representing the definition of a new type of draws |
Cbio_expression.DefineVariable | Class representing the definition of a new variable |
Cbio_expression.Derive | Class generating the analytical derivative of an expression |
Cbio_expression.Elem | Class extracting an expression from a dictionary |
Cbio_expression.Enumerate | Class performing a sample enumeration |
Cbio_expression.exp | Class representing the expression for exponential |
Cbio_expression.Integrate | Class performing numerical integration relying on the Gauss-Hermite quadrature to compute
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Cbio_expression.log | Class representing the expression for natural logarithm |
Cbio_expression.max | Class representing the expression for the maximum of two expressions |
Cbio_expression.MH | Class performing draws from densities for Bayesian estimation using Metropolis-Hastings algorithm |
Cbio_expression.min | Class representing the expression for the minimum of two expressions |
Cbio_expression.MonteCarlo | Class representing the Monte Carlo integration of an expression |
Cbio_expression.MonteCarloControlVariate | Class representing the Monte Carlo integration of an expression, using a control variate method to decrease the variance |
Cbio_expression.Numeric | Class wrapping an integer or a float value |
Cbio_expression.Prod | Class representing the product of the same expression applied to a list of data |
Cbio_expression.RandomVariable | Class representing a random variable for numerical integration |
Cbio_expression.Sum | Class representing the sum of the same expression applied to a list of data |
Cbio_expression.UnOp | Generic class for unary operators |
Cbio_expression.Variable | Class representing the variables defined in the data file |
▼Cbio_iterator.iterator | Generic class for an iterator |
Cbio_iterator.drawIterator | Iterates on the data file for generate the user defined draws (since biogeme 2.4) |
Cbio_iterator.metaIterator | Meta iterators are designed to iterate on group of rows of the data file |
Cbio_iterator.rowIterator | Row iterators are designed to iterate on rows of the data file |
▼Cobject | |
CbioMatrix.bioMatrix | This class implements a matrix object designed to store the variance covariance matrix |
Cbio_expression.Operator | Generic class for an operator |
Cbiogeme.STAN | Class used for generating STAN files (see http://mc-stan.org) |