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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 gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://bitbucket.org/alexanderdokumentov/smoothapcpackage |
| NeedsCompilation: | no |
| CRAN checks: | smoothAPC results |
| Reference manual: | smoothAPC.pdf |
| Package source: | smoothAPC_0.3.tar.gz |
| Windows binaries: | r-devel: smoothAPC_0.3.zip, r-release: smoothAPC_0.3.zip, r-oldrel: smoothAPC_0.3.zip |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.