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.

Documentation

Manual: smoothAPC.pdf
Vignette: None available.

Maintainer: Alexander Dokumentov <alexander.dokumentov at gmail.com>

Author(s): Alexander Dokumentov, Rob J Hyndman

Install package and any missing dependencies by running this line in your R console:

install.packages("smoothAPC")

Depends R (>= 3.2.2)
Imports quantreg, SparseM, compiler, lmtest, stats, rgl, colorspace, methods
Suggests testthat, demography
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Package smoothAPC
Materials
URL https://bitbucket.org/alexanderdokumentov/smoothapcpackage
Task Views
Version 0.1
Published 2016-09-18
License GPL (>= 2)
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SystemRequirements
NeedsCompilation no
Citation
CRAN checks smoothAPC check results
Package source smoothAPC_0.1.tar.gz