Struct InformationInverse 

pub struct InformationInverse {
    pub spanned: FlatMatrix,
    pub determined: FlatMatrix,
    pub resolved: Vec<bool>,
    pub undetermined: Vec<Vec<f64>>,
}

The inverses of the expected information information of rows counts, split as poisson_fit splits its directions into those its steps take and those its covariance keeps. In the information scaled to a unit diagonal, its own or, for an information with other parameters profiled out, the one it had before, spanned keeps every eigen-direction whose eigenvalue is above the eigendecomposition’s rounding, ε·max(rows, k) times the largest, k the number of parameters with information, and determined keeps those of them whose eigenvalue is also at least 1e-12; where that rounding exceeds 1e-12, it is the cutoff of both. A parameter with no information has a zero row and column in both. resolved[i] is whether parameter i has information and, beyond rounding, no component along a direction determined leaves out; undetermined holds those directions, in the parameters’ units.

Fields

spanned: FlatMatrix

determined: FlatMatrix

resolved: Vec<bool>

undetermined: Vec<Vec<f64>>

Trait Implementations

impl Clone for InformationInverse

fn clone(&self) -> InformationInverse

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for InformationInverse

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

Formats the value using the given formatter.