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.

AuthorAlexander Dokumentov, Rob J Hyndman
Date of publication2016-09-18 12:59:47
MaintainerAlexander Dokumentov <alexander.dokumentov@gmail.com>
LicenseGPL (>= 2)
Version0.1
https://bitbucket.org/alexanderdokumentov/smoothapcpackage

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Files in this package

smoothAPC
smoothAPC/tests
smoothAPC/tests/testthat.R
smoothAPC/tests/testthat
smoothAPC/tests/testthat/test_estPar.R
smoothAPC/tests/testthat/test_twoStepDemogSmooth.R
smoothAPC/tests/testthat/test_autoDemogSmooth.R
smoothAPC/tests/testthat/test_demogSmooth.R
smoothAPC/NAMESPACE
smoothAPC/R
smoothAPC/R/cv.R smoothAPC/R/show.R smoothAPC/R/diags.R smoothAPC/R/print.R smoothAPC/R/auto.l1tp.smooth.R smoothAPC/R/l1tp.smooth.R
smoothAPC/MD5
smoothAPC/DESCRIPTION
smoothAPC/man
smoothAPC/man/plot.smAPC.Rd smoothAPC/man/plot3d.Rd smoothAPC/man/autoSmoothAPC.Rd smoothAPC/man/plot.matrix.Rd smoothAPC/man/plot3d.smAPC.Rd smoothAPC/man/plot3d.matrix.Rd smoothAPC/man/smoothAPC.Rd smoothAPC/man/signifAutoSmoothAPC.Rd

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

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