Struct ErrorModels
pub struct ErrorModels { /* private fields */ }Expand description
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.
This is a wrapper around a vector of ErrorModels, its size is determined by the number of outputs in the model/dataset.
Implementations§
§impl ErrorModels
impl ErrorModels
pub fn new() -> ErrorModels
pub fn add( self, outeq: usize, model: ErrorModel, ) -> Result<ErrorModels, ErrorModelError>
pub fn iter(&self) -> impl Iterator<Item = (usize, &ErrorModel)>
pub fn into_iter(self) -> impl Iterator<Item = (usize, ErrorModel)>
pub fn iter_mut(&mut self) -> impl Iterator<Item = (usize, &mut ErrorModel)>
pub fn hash(&self) -> u64
pub fn errorpoly(&self, outeq: usize) -> Result<ErrorPoly, ErrorModelError>
pub fn errorpoly(&self, outeq: usize) -> Result<ErrorPoly, ErrorModelError>
pub fn scalar(&self, outeq: usize) -> Result<f64, ErrorModelError>
pub fn scalar(&self, outeq: usize) -> Result<f64, ErrorModelError>
pub fn set_errorpoly(
&mut self,
outeq: usize,
poly: ErrorPoly,
) -> Result<(), ErrorModelError>
pub fn set_errorpoly( &mut self, outeq: usize, poly: ErrorPoly, ) -> Result<(), ErrorModelError>
pub fn set_scalar(
&mut self,
outeq: usize,
scalar: f64,
) -> Result<(), ErrorModelError>
pub fn set_scalar( &mut self, outeq: usize, scalar: f64, ) -> Result<(), ErrorModelError>
Sets the scalar value for the specified output equation.
§Arguments
outeq- The index of the output equation.scalar- The new scalar value to set.
pub fn sigma(&self, prediction: &Prediction) -> Result<f64, ErrorModelError>
pub fn sigma(&self, prediction: &Prediction) -> Result<f64, ErrorModelError>
Computes the standard deviation (sigma) for the specified output equation and prediction.
§Arguments
outeq- The index of the output equation.prediction- ThePredictionto use for the calculation.
§Returns
A Result containing the computed sigma value or an ErrorModelError if the calculation fails.
pub fn variance(&self, prediction: &Prediction) -> Result<f64, ErrorModelError>
pub fn variance(&self, prediction: &Prediction) -> Result<f64, ErrorModelError>
Computes the variance for the specified output equation and prediction.
§Arguments
outeq- The index of the output equation.prediction- ThePredictionto use for the calculation.
§Returns
A Result containing the computed variance or an ErrorModelError if the calculation fails.
pub fn sigma_from_value(
&self,
outeq: usize,
value: f64,
) -> Result<f64, ErrorModelError>
pub fn sigma_from_value( &self, outeq: usize, value: f64, ) -> Result<f64, ErrorModelError>
Computes the standard deviation (sigma) for the specified output equation and value.
§Arguments
outeq- The index of the output equation.value- The value to use for the calculation.
§Returns
A Result containing the computed sigma value or an ErrorModelError if the calculation fails.
pub fn variance_from_value(
&self,
outeq: usize,
value: f64,
) -> Result<f64, ErrorModelError>
pub fn variance_from_value( &self, outeq: usize, value: f64, ) -> Result<f64, ErrorModelError>
Computes the variance for the specified output equation and value.
§Arguments
outeq- The index of the output equation.value- The value to use for the calculation.
§Returns
A Result containing the computed variance or an ErrorModelError if the calculation fails.
Trait Implementations§
§impl Clone for ErrorModels
impl Clone for ErrorModels
§fn clone(&self) -> ErrorModels
fn clone(&self) -> ErrorModels
Returns a copy of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read more§impl Debug for ErrorModels
impl Debug for ErrorModels
§impl Default for ErrorModels
impl Default for ErrorModels
§fn default() -> ErrorModels
fn default() -> ErrorModels
Returns the “default value” for a type. Read more
§impl<'de> Deserialize<'de> for ErrorModels
impl<'de> Deserialize<'de> for ErrorModels
§fn deserialize<__D>(
__deserializer: __D,
) -> Result<ErrorModels, <__D as Deserializer<'de>>::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(
__deserializer: __D,
) -> Result<ErrorModels, <__D as Deserializer<'de>>::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
§impl From<Vec<ErrorModel>> for ErrorModels
impl From<Vec<ErrorModel>> for ErrorModels
§fn from(models: Vec<ErrorModel>) -> ErrorModels
fn from(models: Vec<ErrorModel>) -> ErrorModels
Converts to this type from the input type.
§impl Serialize for ErrorModels
impl Serialize for ErrorModels
§fn serialize<__S>(
&self,
__serializer: __S,
) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>where
__S: Serializer,
fn serialize<__S>(
&self,
__serializer: __S,
) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>where
__S: Serializer,
Serialize this value into the given Serde serializer. Read more
Auto Trait Implementations§
impl Freeze for ErrorModels
impl RefUnwindSafe for ErrorModels
impl Send for ErrorModels
impl Sync for ErrorModels
impl Unpin for ErrorModels
impl UnwindSafe for ErrorModels
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
§impl<T> DistributionExt for Twhere
T: ?Sized,
impl<T> DistributionExt for Twhere
T: ?Sized,
fn rand<T>(&self, rng: &mut (impl Rng + ?Sized)) -> Twhere
Self: Distribution<T>,
§impl<T> DistributionExt for Twhere
T: ?Sized,
impl<T> DistributionExt for Twhere
T: ?Sized,
fn rand<T>(&self, rng: &mut (impl Rng + ?Sized)) -> Twhere
Self: Distribution<T>,
§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more§impl<T> Pointable for T
impl<T> Pointable for T
§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self from the equivalent element of its
superset. Read more§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self is actually part of its subset T (and can be converted to it).§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset but without any property checks. Always succeeds.§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.