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Calculate the penalised loglikelihood of a smooth.spline

Source: R/df_search.R
loglik_smooth_spline.Rd

Calculate the penalised loglikelihood of a smooth.spline using the integrated second derivative. The likelihood consists of 1) the (weighted) residuals sum of squares, 2) a penalty term (integrated second derivative = total curvature). The smaller the penalised loglikelihood, the better the fit as the residuals and penalty on roughness are minimised. Adapted from aroma.light::likelihood.smooth.spline.

Usage

loglik_smooth_spline(fittedSmoothSpline)

Arguments

fittedSmoothSpline

A fitted smooth.spline

Value

The penalised loglikelihood.