Package: dsa 1.0.12

dsa: Seasonal Adjustment of Daily Time Series

Seasonal- and calendar adjustment of time series with daily frequency using the DSA approach developed by Ollech, Daniel (2018): Seasonal adjustment of daily time series. Bundesbank Discussion Paper 41/2018.

Authors:Daniel Ollech [aut, cre]

dsa_1.0.12.tar.gz
dsa_1.0.12.zip(r-4.5)dsa_1.0.12.zip(r-4.4)dsa_1.0.12.zip(r-4.3)
dsa_1.0.12.tgz(r-4.4-any)dsa_1.0.12.tgz(r-4.3-any)
dsa_1.0.12.tar.gz(r-4.5-noble)dsa_1.0.12.tar.gz(r-4.4-noble)
dsa_1.0.12.tgz(r-4.4-emscripten)dsa_1.0.12.tgz(r-4.3-emscripten)
dsa.pdf |dsa.html
dsa/json (API)
NEWS

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

Peer review:

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.22 score 1 stars 1 packages 55 scripts 278 downloads 20 exports 76 dependencies

Last updated 3 years agofrom:291044d46c. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-winNOTEOct 14 2024
R-4.5-linuxNOTEOct 14 2024
R-4.4-winNOTEOct 14 2024
R-4.4-macNOTEOct 14 2024
R-4.3-winNOTEOct 14 2024
R-4.3-macNOTEOct 14 2024

Exports:daily_simdel_namesDescalerdsafreq_xtsget_originalget_saget_trendmake_calmake_dummymake_holidaymulti_xts2tsoutputplot_spectrumScalerto_weeklyts_sumts2xtsxts2tsxtsplot

Dependencies:base64encbslibcachemclicolorspacecurldigestdygraphsevaluatefansifarverfastmapfontawesomeforecastfracdifffsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelmtestmagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigplyrquadprogquantmodR2HTMLR6rappdirsRColorBrewerRcppRcppArmadilloreshape2rJavarlangrmarkdownsassscalesseastestsstringistringrtibbletimeDatetinytextseriestsoutliersTTRurcautf8vctrsviridisLitewithrxfunxtsyamlzoo

dsa-vignette

Rendered fromdsa-vignette.Rmdusingknitr::rmarkdownon Oct 14 2024.

Last update: 2021-06-21
Started: 2019-01-28