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: