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.

Install the latest version of this package by entering the following in R:
install.packages("smoothAPC")
AuthorAlexander Dokumentov, Rob J Hyndman
Date of publication2016-09-18 12:59:47
MaintainerAlexander Dokumentov <alexander.dokumentov@gmail.com>
LicenseGPL (>= 2)
Version0.1
https://bitbucket.org/alexanderdokumentov/smoothapcpackage

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.