Struct ODE 

#[repr(C)]
pub struct ODE { /* private fields */ }

Implementations

impl ODE

pub fn new( diffeq: fn(&NalgebraVec<f64>, &NalgebraVec<f64>, f64, &mut NalgebraVec<f64>, NalgebraVec<f64>, NalgebraVec<f64>, &Covariates), lag: fn(&NalgebraVec<f64>, f64, &Covariates) -> HashMap<usize, f64>, fa: fn(&NalgebraVec<f64>, f64, &Covariates) -> HashMap<usize, f64>, init: fn(&NalgebraVec<f64>, f64, &Covariates, &mut NalgebraVec<f64>), out: fn(&NalgebraVec<f64>, &NalgebraVec<f64>, f64, &Covariates, &mut NalgebraVec<f64>), neqs: (usize, usize), ) -> ODE

Trait Implementations

impl Clone for ODE

fn clone(&self) -> ODE

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ODE

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl Equation for ODE

fn estimate_likelihood( &self, subject: &Subject, support_point: &Vec<f64>, error_models: &ErrorModels, cache: bool, ) -> Result<f64, PharmsolError>

Estimate the likelihood of the subject given the support point and error model.

fn kind() -> EqnKind

fn simulate_subject( &self, subject: &Subject, support_point: &Vec<f64>, error_models: Option<&ErrorModels>, ) -> Result<(<ODE as EquationTypes>::P, Option<f64>), PharmsolError>

Simulate a subject with given parameters and optionally calculate likelihood.

fn estimate_predictions( &self, subject: &Subject, support_point: &Vec<f64>, ) -> Result<Self::P, PharmsolError>

Generate predictions for a subject with given parameters.

fn nouteqs(&self) -> usize

Get the number of output equations in the model.

fn nstates(&self) -> usize

Get the number of state variables in the model.

impl EquationTypes for ODE

type S = NalgebraVec<f64>

The state vector type

type P = SubjectPredictions

The predictions container type