Expand description
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 pharmsol;pub use crate::routines::settings::*;pub use crate::structs::*;
Modules§
Macros§
Structs§
- Analytical
- Model equation using analytical solutions.
- Bolus
- Represents an instantaneous input of drug
- Covariate
- A time-varying covariate consisting of computed segments
- Covariates
- A collection of Covariates
- Data
- The main data container for pharmacokinetic/pharmacodynamic data
- Error
Models - Collection of error models for all possible outputs in the model/dataset This struct holds a vector of error models, each corresponding to a specific output in the pharmacometric analysis.
- Error
Poly - Error polynomial coefficients for the error model
- HashMap
- A hash map implemented with quadratic probing and SIMD lookup.
- Infusion
- Represents a continuous dose of drug over time
- Meta
- Model metadata container.
- ODE
- Observation
- Represents an observation of drug concentration or other measured value
- Occasion
- An occasion within a subject’s dataset
- SDE
- Stochastic Differential Equation solver for pharmacometric models.
- Subject
- A subject in a pharmacometric dataset
Enums§
- Censor
- Covariate
Error - Error type for covariate operations
- EqnKind
- Error
Model - Model for calculating observation errors in pharmacometric analyses
- Error
Model Error - Event
- Represents a pharmacokinetic/pharmacodynamic event
- Factor
- Parameter that can be either fixed or variable for estimation
- Interpolation
- Method used to interpolate covariate values between observations
Traits§
- Equation
- Trait for model equations that can be simulated.
- Equation
Types - Trait defining the associated types for equations.
- Predictions
- Trait for prediction containers.
- State
- Trait for state vectors that can receive bolus doses.
- Subject
Builder Ext - Extension trait for creating Subject instances using the builder pattern
Functions§
- get_e2
- one_
compartment - Analytical solution for one compartment model.
- one_
compartment_ with_ absorption - Analytical solution for one compartment model with first-order absorption.
- three_
compartments - Analytical for three compartments Assumptions:
- three_
compartments_ with_ absorption - Analytical solution for three compartment model with first-order absorption. Assumptions:
- two_
compartments - Analytical solution for two compartment model.
- two_
compartments_ with_ absorption - Analytical solution for two compartment model with first-order absorption.
Type Aliases§
- Analytical
Eq - This closure represents an Analytical solution of the model. See [analytical] module for examples.
- DiffEq
- This closure represents the differential equation of the model.
- Diffusion
- This closure represents the diffusion term of a stochastic differential equation model.
- Drift
- This closure represents the drift term of a stochastic differential equation model.
- Fa
- This closure represents the fraction absorbed (also called bioavailability or protein binding) of the model.
- Init
- This closure represents the initial state of the system.
- Lag
- This closure represents the lag time of the model.
- M
- Type alias for matrix type used in simulations
- Neqs
- The number of states and output equations of the model.
- Out
- This closure represents the output equation of the model.
- Result
Result<T, Error>- SecEq
- This closure represents the secondary equation of the model.
- T
- Type alias for floating point values used in simulations
- V
- Type alias for state vector type used in simulations