Struct Analytical 

pub struct Analytical { /* private fields */ }

Model equation using analytical solutions.

This implementation uses closed-form analytical solutions for the model equations rather than numerical integration.

Implementations

impl Analytical

pub fn new( eq: fn(&NalgebraVec<f64>, &NalgebraVec<f64>, f64, &NalgebraVec<f64>, &Covariates) -> NalgebraVec<f64>, seq_eq: fn(&mut NalgebraVec<f64>, 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>), ) -> Analytical

Create a new Analytical equation model with default Neqs (all sizes = 5).

Use builder methods to configure dimensions:

Analytical::new(eq, seq_eq, lag, fa, init, out)
    .with_nstates(2)
    .with_ndrugs(1)
    .with_nout(1)

pub fn with_nstates(self, nstates: usize) -> Analytical

Set the number of state variables.

pub fn with_ndrugs(self, ndrugs: usize) -> Analytical

Set the number of drug input channels (size of bolus[] and rateiv[]).

pub fn with_nout(self, nout: usize) -> Analytical

Set the number of output equations.

Trait Implementations

impl Clone for Analytical

fn clone(&self) -> Analytical

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Analytical

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

Formats the value using the given formatter.

impl Equation for Analytical

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

👎Deprecated since 0.23.0: Use estimate_log_likelihood() instead for better numerical stability

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

fn estimate_log_likelihood( &self, subject: &Subject, support_point: &Vec<f64>, error_models: &AssayErrorModels, ) -> Result<f64, PharmsolError>

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

fn kind() -> EqnKind

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.

fn simulate_subject( &self, subject: &Subject, support_point: &Vec<f64>, error_models: Option<&AssayErrorModels>, ) -> Result<(Self::P, Option<f64>), PharmsolError>

Simulate a subject with given parameters and optionally calculate likelihood.

impl EquationTypes for Analytical

type S = NalgebraVec<f64>

The state vector type

type P = SubjectPredictions

The predictions container type