smoothAPC: Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects

The implemented method uses for smoothing bivariate thin plate splines, bivariate lasso-type regularization, and allows for both period and cohort effects. Thus the mortality rates are modelled as the sum of four components: a smooth bivariate function of age and time, smooth one-dimensional cohort effects, smooth one-dimensional period effects and random errors.

Getting started

Package details

AuthorAlexander Dokumentov, Rob J Hyndman
MaintainerAlexander Dokumentov <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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smoothAPC documentation built on May 2, 2019, 10:15 a.m.