Package: smoothAPC 0.3
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:
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://dokal01.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://bitbucket.org/alexanderdokumentov/smoothapcpackage
Last updated 7 years agofrom:6765cb032d. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | NOTE | Nov 12 2024 |
| R-4.5-linux | NOTE | Nov 12 2024 |
| R-4.4-win | NOTE | Nov 12 2024 |
| R-4.4-mac | NOTE | Nov 12 2024 |
| R-4.3-win | NOTE | Nov 12 2024 |
| R-4.3-mac | NOTE | Nov 12 2024 |
Exports:autoSmoothAPCplot3dsignifAutoSmoothAPCsmoothAPC
Dependencies:base64encbslibcachemclicolorspacedigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlatticelifecyclelmtestmagrittrMASSMatrixMatrixModelsmemoisemimequantregR6rappdirsrglrlangrmarkdownsassSparseMsurvivaltinytexxfunyamlzoo
