Struct linregress::LowLevelRegressionModel

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pub struct LowLevelRegressionModel { /* private fields */ }
Expand description

A fitted regression model

Is the result of fit_low_level_regression_model.

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impl LowLevelRegressionModel

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pub fn p_values(&self) -> &[f64]

The two-tailed p-values for the t-statistics of the parameters

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pub fn residuals(&self) -> &[f64]

The residuals of the model

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pub fn parameters(&self) -> &[f64]

The model’s intercept and slopes (also known as betas)

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pub fn se(&self) -> &[f64]

The standard errors of the parameter estimates

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pub fn ssr(&self) -> f64

Sum of squared residuals

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pub fn rsquared(&self) -> f64

R-squared of the model

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pub fn rsquared_adj(&self) -> f64

Adjusted R-squared of the model

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pub fn scale(&self) -> f64

A scale factor for the covariance matrix

Note that the square root of scale is often called the standard error of the regression.

Trait Implementations§

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impl Clone for LowLevelRegressionModel

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fn clone(&self) -> LowLevelRegressionModel

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for LowLevelRegressionModel

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

Formats the value using the given formatter. Read more

Auto Trait Implementations§

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impl<T> Any for T
where T: 'static + ?Sized,

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Gets the TypeId of self. Read more
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fn borrow_mut(&mut self) -> &mut T

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impl<T> CloneToUninit for T
where T: Clone,

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default unsafe fn clone_to_uninit(&self, dst: *mut T)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dst. Read more
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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type Output = T

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where SS: SubsetOf<SP>,

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type Error = <U as TryFrom<T>>::Error

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Performs the conversion.