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: 0.3
Depends: R (≥ 3.2.2)
Imports: quantreg, SparseM, compiler, lmtest, stats, rgl, colorspace, methods
Suggests: testthat, demography
Published: 2018-05-18
DOI: 10.32614/CRAN.package.smoothAPC
Author: Alexander Dokumentov, Rob J Hyndman
Maintainer: Alexander Dokumentov <alexander.dokumentov at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: smoothAPC results


Reference manual: smoothAPC.pdf


Package source: smoothAPC_0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): smoothAPC_0.3.tgz, r-oldrel (arm64): smoothAPC_0.3.tgz, r-release (x86_64): smoothAPC_0.3.tgz, r-oldrel (x86_64): smoothAPC_0.3.tgz
Old sources: smoothAPC archive


Please use the canonical form to link to this page.