smoothAPC: Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects
Version 0.1

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.

AuthorAlexander Dokumentov, Rob J Hyndman
Date of publication2016-09-18 12:59:47
MaintainerAlexander Dokumentov <alexander.dokumentov@gmail.com>
LicenseGPL (>= 2)
Version0.1
URL https://bitbucket.org/alexanderdokumentov/smoothapcpackage
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("smoothAPC")

Popular man pages

autoSmoothAPC: Smooths demographic data using automatically estimated...
plot3d: Presents data as a 3D surface
plot3d.smAPC: Presents demographic data as a 3D surface
plot.matrix: Presents matrix as a heatmap
plot.smAPC: Presents demographic data as a heatmap
signifAutoSmoothAPC: Smooths demographic data using automatically estimated...
smoothAPC: Smooths demographic data optionally taking into account...
See all...

All man pages Function index File listing

Man pages

autoSmoothAPC: Smooths demographic data using automatically estimated...
plot3d: Presents data as a 3D surface
plot3d.matrix: Presents matrix as a 3D surface
plot3d.smAPC: Presents demographic data as a 3D surface
plot.matrix: Presents matrix as a heatmap
plot.smAPC: Presents demographic data as a heatmap
signifAutoSmoothAPC: Smooths demographic data using automatically estimated...
smoothAPC: Smooths demographic data optionally taking into account...

Functions

InvP Source code
autoSmoothAPC Man page Source code
cvPoints.nc Source code
diags Source code
estAA Source code
estPar Source code
estYY Source code
getAffected Source code
l1tp.getTargetVector Source code
l1tp.smooth.demogdata.nc Source code
l1tp.unTargetCohortEffect Source code
l1tp.unTargetVector Source code
l1tp.unTargetYearsEffect Source code
my.colors Source code
my.t.test Source code
partialSAE.nc Source code
partialSSE.nc Source code
plot.matrix Man page Source code
plot.smAPC Man page Source code
plot3D Source code
plot3d Man page Source code
plot3d.matrix Man page Source code
plot3d.smAPC Man page Source code
plot_matrix Source code
plot_smAPC Source code
print.smAPC Source code
signifAutoSmoothAPC Man page Source code
smoothAPC Man page
smoothAPC.wrapper Source code
smoothCv.nc Source code
updateResiduals Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test_estPar.R
tests/testthat/test_twoStepDemogSmooth.R
tests/testthat/test_autoDemogSmooth.R
tests/testthat/test_demogSmooth.R
NAMESPACE
R
R/cv.R
R/show.R
R/diags.R
R/print.R
R/auto.l1tp.smooth.R
R/l1tp.smooth.R
MD5
DESCRIPTION
man
man/plot.smAPC.Rd
man/plot3d.Rd
man/autoSmoothAPC.Rd
man/plot.matrix.Rd
man/plot3d.smAPC.Rd
man/plot3d.matrix.Rd
man/smoothAPC.Rd
man/signifAutoSmoothAPC.Rd
smoothAPC documentation built on May 19, 2017, 2:07 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.