Module prelude

A collection of commonly used items to simplify imports.

Re-exports

pub use crate::algorithms;

pub use crate::algorithms::dispatch_algorithm;

pub use crate::algorithms::Algorithm;

pub use crate::routines;

pub use crate::routines::logger;

pub use crate::routines::initialization::Prior;

pub use crate::routines::settings::ErrorModel;

pub use crate::routines::settings::*;

pub use crate::structs::*;

Modules

analytical

builder

covariate

data

equation

error_model

event

fitting

meta

models

ode

sde

simulator

structs

Macros

fa

fetch_cov

fetch_params

lag

Structs

Analytical

Bolus

An instantaenous input of drug

Covariate

A Covariate is a collection of CovariateSegments, which allows for interpolation of covariate values

CovariateSegment

A CovariateSegment is a segment of the piece-wise interpolation of a Covariate

Covariates

Covariates is a collection of Covariate

Data

Data is a collection of Subjects, which are collections of Occasions, which are collections of Events

HashMap

A hash map implemented with quadratic probing and SIMD lookup.

Infusion

A continuous dose of drug

Meta

This structs holds the metadata of the model

ODE

Observation

An observation of drug concentration or covariates

Occasion

An Occasion is a collection of events, for a given Subject, that are from a specific occasion

SDE

Subject

Subject is a collection of blocks for one individual

Enums

ErrorType

Event

An Event can be a Bolus, Infusion, or Observation

InterpolationMethod

Traits

Equation

EquationTypes

EstimateTheta

OptimalSupportPoint

Predictions

State

SubjectBuilderExt

Functions

one_compartment

Analytical for one compartment Assumptions:

one_compartment_with_absorption

Analytical for one compartment with absorption Assumptions:

two_compartments

Analytical for two compartment Assumptions:

two_compartments_with_absorption

Analytical for two compartment with absorption Assumptions:

Type Aliases

AnalyticalEq

This closure represents an Analytical solution of the model, see [analytical] module for examples. Params:

DiffEq

This closure represents the differential equation of the model: Params:

Diffusion

This closure represents the diffusion term of the model: Params:

Drift

This closure represents the drift term of the model: Params:

Fa

This closure represents the fraction absorbed (also called bioavailability or protein binding) of the model, the fa term is used to adjust the amount of drug that is absorbed into the system. Params:

Init

This closure represents the initial state of the system: Params:

Lag

This closure represents the lag time of the model, the lag term delays the only the boluses going into an specific comparment. Params:

Neqs

The number of states and output equations of the model The first element is the number of states and the second element is the number of output equations This is used to initialize the state vector and the output vector Example:

Out

This closure represents the output equation of the model: Params:

Result

Result<T, Error>

SecEq

This closure represents the secondary equation of the model, secondary equations are used to update the parameter values based on the covariates. Params: