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smoothAPC  

Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects
View on CRAN: Click here


Download and install smoothAPC package within the R console
Install from CRAN:
install.packages("smoothAPC")

Install from Github:
library("remotes")
install_github("cran/smoothAPC")

Install by package version:
library("remotes")
install_version("smoothAPC", "0.3")



Attach the package and use:
library("smoothAPC")
Maintained by
Alexander Dokumentov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-18
Latest Update: 2018-05-18
Description:
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.
How to cite:
Alexander Dokumentov (2016). smoothAPC: Smoothing of Two-Dimensional Demographic Data, Optionally Taking into Account Period and Cohort Effects. R package version 0.3, https://cran.r-project.org/web/packages/smoothAPC. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2016-09-18 12:59), 0.2 (2017-09-14 14:51)
Other packages that cited smoothAPC R package
View smoothAPC citation profile
Other R packages that smoothAPC depends, imports, suggests or enhances
Complete documentation for smoothAPC
Functions, R codes and Examples using the smoothAPC R package
Some associated functions: autoSmoothAPC . plot.matrix . plot.smAPC . plot3d.matrix . plot3d . plot3d.smAPC . signifAutoSmoothAPC . smoothAPC . 
Some associated R codes: auto.l1tp.smooth.R . cv.R . diags.R . l1tp.smooth.R . print.R . show.R .  Full smoothAPC package functions and examples
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