Package: smoothAPC 0.3

Alexander Dokumentov

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.

Authors:Alexander Dokumentov, Rob J Hyndman

smoothAPC_0.3.tar.gz
smoothAPC_0.3.zip(r-4.5)smoothAPC_0.3.zip(r-4.4)smoothAPC_0.3.zip(r-4.3)
smoothAPC_0.3.tgz(r-4.4-any)smoothAPC_0.3.tgz(r-4.3-any)
smoothAPC_0.3.tar.gz(r-4.5-noble)smoothAPC_0.3.tar.gz(r-4.4-noble)
smoothAPC_0.3.tgz(r-4.4-emscripten)smoothAPC_0.3.tgz(r-4.3-emscripten)
smoothAPC.pdf |smoothAPC.html
smoothAPC/json (API)

# Install 'smoothAPC' in R:
install.packages('smoothAPC', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://bitbucket.org/alexanderdokumentov/smoothapcpackage

On CRAN:

archivedpackagesr-universe

1.81 score 5 stars 13 scripts 177 downloads 4 exports 39 dependencies

Last updated 11 days agofrom:9f0a9912ee (on package/smoothAPC). Checks:1 OK, 6 ERROR. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 10 2025
R-4.5-winERRORJan 10 2025
R-4.5-linuxERRORJan 10 2025
R-4.4-winERRORJan 10 2025
R-4.4-macERRORJan 10 2025
R-4.3-winERRORJan 10 2025
R-4.3-macERRORJan 10 2025

Exports:autoSmoothAPCplot3dsignifAutoSmoothAPCsmoothAPC

Dependencies:base64encbslibcachemclicolorspacedigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclelmtestmagrittrMASSMatrixMatrixModelsmemoisemimequantregR6rappdirsrglrlangrmarkdownsassSparseMsurvivaltinytexxfunyamlzoo