loglik_smooth_spline: Calculate the penalised loglikelihood of a smooth.spline
In santaR: Short Asynchronous Time-Series Analysis
loglik_smooth_spline 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 smooth.spline
Value
The penalised loglikelihood.
santaR documentation built on May 24, 2022, 1:06 a.m.
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| loglik_smooth_spline | 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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