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

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