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influence_diagnostics

fdars_core::explain

Function influence_diagnostics 

Source 
pub fn influence_diagnostics(
    fit: &FregreLmResult,
    data: &FdMatrix,
    scalar_covariates: Option<&FdMatrix>,
) -> Result<InfluenceDiagnostics, FdarError>
Expand description

Compute leverage and Cook’s distance for a linear functional regression.

§Errors

Returns FdarError::InvalidDimension if data has zero rows, its column count does not match fit.fpca.mean, or the number of rows is not greater than the number of model parameters. Returns FdarError::ComputationFailed if Cholesky factorization fails.