Distribution#

class pharmpy.model.Distribution[source]#

Bases: Sized, Hashable, Immutable

Attributes Summary

`free_symbols`
`level`	Name of VariabilityLevel of the random variables
`mean`
`names`	Names of random variables of distribution
`parameter_names`	List of names of all parameters used in definition
`variance`

Methods Summary

`evalf`(parameters)
`get_covariance`(name1, name2)
`get_variance`(name)
`latex_string`([aligned])
`replace`(**kwargs)
`subs`(d)
`to_dict`()

Attributes Documentation

free_symbols#

level#: Name of VariabilityLevel of the random variables

mean#

names#: Names of random variables of distribution

parameter_names#: List of names of all parameters used in definition

variance#

Methods Documentation

abstractmethod evalf(parameters)[source]#

abstractmethod get_covariance(name1, name2)[source]#

abstractmethod get_variance(name)[source]#

abstractmethod latex_string(aligned=False)[source]#

abstractmethod replace(**kwargs)[source]#

abstractmethod subs(d)[source]#

abstractmethod to_dict()[source]#