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Biogeme: Python Library
2.5
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Classes | |
| class | bio_expression.Variable |
| Class representing the variables defined in the data file. More... | |
| class | bio_expression.RandomVariable |
| Class representing a random variable for numerical integration. More... | |
| class | bio_expression.DefineVariable |
| Class representing the definition of a new variable. More... | |
| class | bio_expression.DefineDraws |
| Class representing the definition of a new type of draws. More... | |
| class | bio_expression.Beta |
| Class representing a parameter to be estimated. More... | |
| class | bio_expression.bioDraws |
| Class representing a random variable for integration using Monte Carlo simulation. More... | |
| class | bio_expression.bioRecycleDraws |
| Class representing the uniform draw of a random variable used for integration using Monte Carlo simulation. More... | |
| class | bio_expression.bioNormalDraws |
| Class representing a normally distributed random variable for simulated integration. More... | |
| class | bio_expression.bioUniformSymmetricDraws |
| Class representing a uniformly distributed random variable on [-1,1] for simulated integration. More... | |
| class | bio_expression.bioUniformDraws |
| Class representing a uniformly distributed random variable on [0,1] for simulated integration. More... | |
| class | bio_expression.abs |
| Class representing the expression for absolute value. More... | |
| class | bio_expression.exp |
| Class representing the expression for exponential. More... | |
| class | bio_expression.log |
| Class representing the expression for natural logarithm. More... | |
| class | bio_expression.bioNormalCdf |
| Class representing the cumulative distribution function of the normal distribution. More... | |
| class | bio_expression.max |
| Class representing the expression for the maximum of two expressions. More... | |
| class | bio_expression.min |
| Class representing the expression for the minimum of two expressions. More... | |
| class | bio_expression.MonteCarlo |
| Class representing the Monte Carlo integration of an expression. More... | |
| class | bio_expression.MonteCarloControlVariate |
| Class representing the Monte Carlo integration of an expression, using a control variate method to decrease the variance. More... | |
| class | bio_expression.Sum |
| Class representing the sum of the same expression applied to a list of data. More... | |
| class | bio_expression.Prod |
| Class representing the product of the same expression applied to a list of data. More... | |
| class | bio_expression.Integrate |
| Class performing numerical integration relying on the Gauss-Hermite quadrature to compute
. More... | |
| class | bio_expression.Derive |
| Class generating the analytical derivative of an expression. More... | |
| class | bio_expression.bioNormalPdf |
| Class representing the probability density function of a standardized normally distributed random variable. More... | |
| class | bio_expression.Elem |
| Class extracting an expression from a dictionary. More... | |
| class | bio_expression.bioLogit |
| Class calculating a logit choice probability. More... | |
| class | bio_expression.bioLogLogit |
| Class calculating the log of a logit choice probability. More... | |
| class | bio_expression.bioMultSum |
| Class computing the sum of multiple expressions. More... | |
| class | bio_expression.Enumerate |
| Class performing a sample enumeration. More... | |
Functions | |
| def | bio_expression.Numeric.__init__ (self, number) |
| def bio_expression.Numeric.__init__ | ( | self, | |
| number | |||
| ) |
| number | integer or float |
Definition at line 252 of file bio_expression.py.
![\[ \int_{-\infty}^{+\infty} f(\omega) d\omega. \]](form_14.png)