Package: SMOARIMA 0.1.1

Mrinmoy Ray

SMOARIMA: Automatic ARIMA Order Selection Using Spider Monkey Optimization

Implements automatic autoregressive integrated moving average order selection using the Spider Monkey Optimization algorithm. Candidate orders are evaluated using a weighted objective function that combines the Akaike information criterion and root mean square error. Functions support model fitting, forecasting, and forecast accuracy evaluation.

Authors:Santosha Rathod [aut], Mrinmoy Ray [aut, cre], Chiranjit Mazumder [aut], Vishnu Shankar [aut], Fasila K. P. [aut], Sujith Arokiaswamy B. [aut], Anil Kumar [aut]

SMOARIMA_0.1.1.tar.gz
SMOARIMA_0.1.1.zip(r-4.7-any)SMOARIMA_0.1.1.zip(r-4.6-any)
SMOARIMA_0.1.1.tar.gz(r-4.7-any)SMOARIMA_0.1.1.tar.gz(r-4.6-any)
SMOARIMA_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SMOARIMA/json (API)

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

On CRAN:

Conda:

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

1.00 score 202 downloads 3 exports 31 dependencies

Last updated from:7965ecdd03. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK170
linux-releaseOK106
windows-develOK80
windows-releaseOK93
wasm-releaseOK91

Exports:accuracy_smofit_smoforecast_smo

Dependencies:clicolorspacecpp11farverforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrnlmennetR6RColorBrewerRcppRcppArmadillorlangS7scalestimeDateurcavctrsviridisLitewithrzoo