Package: artfima 1.5

artfima: ARTFIMA Model Estimation

Fit and simulate ARTFIMA. Theoretical autocovariance function and spectral density function for stationary ARTFIMA.

Authors:A. I. McLeod, Mark M. Meerschaert, Farzad Sabzikar

artfima_1.5.tar.gz
artfima_1.5.zip(r-4.5)artfima_1.5.zip(r-4.4)artfima_1.5.zip(r-4.3)
artfima_1.5.tgz(r-4.4-any)artfima_1.5.tgz(r-4.3-any)
artfima_1.5.tar.gz(r-4.5-noble)artfima_1.5.tar.gz(r-4.4-noble)
artfima_1.5.tgz(r-4.4-emscripten)artfima_1.5.tgz(r-4.3-emscripten)
artfima.pdf |artfima.html✨
artfima/json (API)
NEWS

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

Peer review:

Datasets:
  • SB32 - Turbulent flow data from Station SB32
  • bev - Beveridge Wheat Price Index, 1500 to 1869
  • eaglecol - Tree-ring indicies for Douglas Fir, Colorado, 1107-1964.
  • nilemin - Nile Annual Minima, 622 AD to 1284 AD
  • ogden - Mean Annual St. Lawrence Riverflow
  • seriesa - Series A from Box and Jenkins

On CRAN:

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

1.30 score 20 scripts 229 downloads 13 exports 2 dependencies

Last updated 8 years agofrom:7466a702ce. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winNOTENov 02 2024
R-4.5-linuxNOTENov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:artfimaartfimaSDFartfimaTACVFartsimbest_glp_modelsbestModelsifisherPeriodogramplot.artfimapredict.artfimaprint.artfimaprint.bestmodelstseg

Dependencies:gslltsa