smoothAPC v0.3
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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.
Functions in smoothAPC
| Name | Description | |
| smoothAPC | Smooths demographic data optionally taking into account period and cohort effects | |
| plot.matrix | Presents matrix as a heatmap | |
| autoSmoothAPC | Smooths demographic data using automatically estimated parameters and optionally taking into account period and cohort effects | |
| plot3d.smAPC | Presents demographic data as a 3D surface | |
| plot.smAPC | Presents demographic data as a heatmap | |
| plot3d.matrix | Presents matrix as a 3D surface | |
| signifAutoSmoothAPC | Smooths demographic data using automatically estimated parameters and taking into account only significant period and cohort effects | |
| plot3d | Presents data as a 3D surface | |
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Details
| Date | 2018-05-18 |
| License | GPL (>= 2) |
| URL | https://bitbucket.org/alexanderdokumentov/smoothapcpackage |
| LazyData | true |
| RoxygenNote | 5.0.1 |
| NeedsCompilation | no |
| Packaged | 2018-05-18 08:21:43 UTC; alex |
| Repository | CRAN |
| Date/Publication | 2018-05-18 09:43:08 UTC |
| imports | colorspace , compiler , lmtest , methods , quantreg , rgl , SparseM , stats |
| suggests | demography , testthat |
| depends | R (>= 3.2.2) |
| Contributors | Rob Hyndman, Alexander Dokumentov |
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[](http://www.rdocumentation.org/packages/smoothAPC)