Struct survival_analysis::distribution::weibull::WeibullDistribution

pub struct WeibullDistribution<F> {
    pub shape: F,
    pub scale: F,
}

Fields

shape: F

scale: F

Trait Implementations

impl<F: Clone> Clone for WeibullDistribution<F>

fn clone(&self) -> WeibullDistribution<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Copy> Copy for WeibullDistribution<F>

impl<S, D, F> CumulativeHazard<ArrayBase<S, D>, ArrayBase<OwnedRepr<F>, D>> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + SafeLogExp + ScalarOperand, 

fn cumulative_hazard(&self, input: &ArrayBase<S, D>) -> Array<F, D>

impl<S, D, F> CumulativeHazard<ArrayBase<S, D>, F> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + SafeLogExp + ScalarOperand, 

fn cumulative_hazard(&self, input: &ArrayBase<S, D>) -> F

impl<F: Debug> Debug for WeibullDistribution<F>

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl<F: Default> Default for WeibullDistribution<F>

fn default() -> WeibullDistribution<F>

Returns the "default value" for a type.

impl<F> From<WeibullDistribution<F>> for Vec<F>

fn from(distribution: WeibullDistribution<F>) -> Self

Performs the conversion.

impl<S, F> InitialSolvePoint<WeibullDistribution<F>> for RightCensored<S, Ix1> where
    S: Data<Elem = F>,
    F: Float + FromPrimitive, 

fn initial_solve_point(&self) -> WeibullDistribution<F>

impl<S, F> InitialSolvePoint<WeibullDistribution<F>> for LeftCensored<S, Ix1> where
    S: Data<Elem = F>,
    F: Float + FromPrimitive, 

fn initial_solve_point(&self) -> WeibullDistribution<F>

impl<S, F> InitialSolvePoint<WeibullDistribution<F>> for IntervalCensored<S, Ix1> where
    S: Data<Elem = F>,
    F: Float + FromPrimitive, 

fn initial_solve_point(&self) -> WeibullDistribution<F>

impl<S, D, F> LogCumulativeDensity<ArrayBase<S, D>, ArrayBase<OwnedRepr<F>, D>> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + SafeLogExp + ScalarOperand + Neg + Sub<Array<F, D>, Output = Array<F, D>>, 

fn log_cumulative_density(&self, input: &ArrayBase<S, D>) -> Array<F, D>

impl<S, D, F> LogCumulativeDensity<ArrayBase<S, D>, F> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + SafeLogExp + ScalarOperand + Neg + Sub<Array<F, D>, Output = Array<F, D>>, 

fn log_cumulative_density(&self, input: &ArrayBase<S, D>) -> F

impl<S, D, F> LogHazard<ArrayBase<S, D>, ArrayBase<OwnedRepr<F>, D>> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + ScalarOperand, 

fn log_hazard(&self, input: &ArrayBase<S, D>) -> Array<F, D>

impl<S, D, F> LogHazard<ArrayBase<S, D>, F> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + FromPrimitive + ScalarOperand, 

fn log_hazard(&self, input: &ArrayBase<S, D>) -> F

impl<F: PartialEq> PartialEq<WeibullDistribution<F>> for WeibullDistribution<F>

fn eq(&self, other: &WeibullDistribution<F>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &WeibullDistribution<F>) -> bool

This method tests for !=.

impl<F> StructuralPartialEq for WeibullDistribution<F>

impl<S, D, F> Survival<ArrayBase<S, D>, ArrayBase<OwnedRepr<F>, D>> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + SafeLogExp + ScalarOperand + Neg, 

fn survival(&self, input: &ArrayBase<S, D>) -> Array<F, D>

impl<S, D, F> Survival<ArrayBase<S, D>, F> for WeibullDistribution<F> where
    S: Data<Elem = F>,
    D: Dimension,
    F: Float + SafeLogExp + ScalarOperand + Neg, 

fn survival(&self, input: &ArrayBase<S, D>) -> F

impl<'a, F> TryFrom<&'a [F]> for WeibullDistribution<F> where
    F: Copy, 

type Error = Error

The type returned in the event of a conversion error.

fn try_from(array: &'a [F]) -> Result<Self, Self::Error>

Performs the conversion.