loglik_smooth_spline {santaR} | R Documentation |
Calculate the penalised loglikelihood of a smooth.spline
Description
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 |
Value
The penalised loglikelihood.
[Package santaR version 1.2.4 Index]