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.

Version: 0.1
Depends: R (≥ 3.2.2)
Imports: quantreg, SparseM, compiler, lmtest, stats, rgl, colorspace, methods
Suggests: testthat, demography
Published: 2016-09-18
Author: Alexander Dokumentov, Rob J Hyndman
Maintainer: Alexander Dokumentov <alexander.dokumentov at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://bitbucket.org/alexanderdokumentov/smoothapcpackage
NeedsCompilation: no
CRAN checks: smoothAPC results

Downloads:

Reference manual: smoothAPC.pdf
Package source: smoothAPC_0.1.tar.gz
Windows binaries: r-devel: smoothAPC_0.1.zip, r-release: smoothAPC_0.1.zip, r-oldrel: smoothAPC_0.1.zip
OS X El Capitan binaries: r-release: smoothAPC_0.1.tgz
OS X Mavericks binaries: r-oldrel: smoothAPC_0.1.tgz

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