Enhanced Implementation of Whittaker-Henderson Smoothing
Deviance residuals for Poisson GLM
Diagnosis for Model Fit
Store WH model fit results in a data.frame
Plot 1D WH fit
Plot 2D WH fit
Predict new values using a fitted 1D WH model
Predict new values using a fitted 2D WH model
Display of 1D WH object
Display of 2D WH object
Compute variance-covariance matrix of fitted 1D WH model
Compute variance-covariance matrix of fitted 1D WH model
WH : Enhanced Implementation of Whittaker-Henderson Smoothing
Whittaker-Henderson Smoothing
An enhanced implementation of Whittaker-Henderson smoothing for the graduation of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks. 'WH' is based on the methods described in Biessy (2025) <doi:10.48550/arXiv.2306.06932>. Among other features, it generalizes the original smoothing algorithm to maximum likelihood estimation, automatically selects the smoothing parameter(s) and extrapolates beyond the range of data.