pharmpy.model Package

Functions

to_compartmental_system(names, eqs)

Convert an list of odes to a compartmental system

Classes

Assignment(symbol, expression)	Representation of variable assignment
Bolus(amount[, admid])	A Bolus dose
ColumnInfo(name[, type, unit, scale, ...])	Information about one data column
Compartment(name, amount[, doses, input, ...])	Compartment for a compartmental system
CompartmentalSystem([builder, graph, t])	System of ODEs descibed as a compartmental system
CompartmentalSystemBuilder([cs])	Builder for CompartmentalSystem
DataInfo([columns, path, separator, ...])	Metadata for the dataset
DatasetError	Exception for errors in the dataset
DatasetWarning	Warning for recoverable issues in the dataset
Distribution()
EstimationStep(method[, interaction, ...])	Definition of one estimation operation
EstimationSteps([steps])	A sequence of estimation steps
Infusion(amount[, admid, rate, duration])	An infusion dose
JointNormalDistribution(names, level, mean, ...)	Joint distribution of random variables
Model([name, parameters, random_variables, ...])	The Pharmpy model class
ModelError	Exception for errors in model object
ModelfitResultsError	Exception for issues with ModelfitResults
ModelSyntaxError([msg])	Exception for Syntax errors in model code
NormalDistribution(name, level, mean, variance)	Normal distribution for one random variable
Parameter(name, init[, lower, upper, fix])	A single parameter
Parameters([parameters])	An immutable collection of parameters
RandomVariables(dists, eta_levels, ...)	A collection of distributions of random variables
SimulationStep([n, seed, solver, ...])	Definition of one simulation operation
Statement()	Abstract base class for all types of statements
Statements([statements])	A sequence of symbolic statements describing the model
VariabilityHierarchy([levels])	Description of a variability hierarchy
VariabilityLevel(name[, reference, group])	A variability level