Struct ChiSquared 

pub struct ChiSquared {
    pub boolean: bool,
    pub significance_level: f64,
}

Pearson chi-squared conditional independence test (λ = 1).

Operates on discrete data only. Delegates to the power-divergence family with λ = 1, which is the classical chi-squared statistic.

Fields

boolean: bool

significance_level: f64

Implementations

impl ChiSquared

pub fn new(boolean: bool, significance_level: f64) -> Self

Trait Implementations

impl CITest for ChiSquared

fn run_test( &self, x_values: Array1<f64>, y_values: Array1<f64>, z: Array2<f64>, ) -> Result<TestResult>

Runs a conditional independence test on the given data.

fn data_types(&self) -> &'static [CITestDataType]

Data types that a test supports.

impl Clone for ChiSquared

fn clone(&self) -> ChiSquared

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ChiSquared

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

Formats the value using the given formatter.

impl PartialEq for ChiSquared

fn eq(&self, other: &ChiSquared) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ChiSquared