Package: AriGaMyANNSVR 0.1.0

AriGaMyANNSVR: Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models

Describes a series first. After that does time series analysis using one hybrid model and two specially structured Machine Learning (ML) (Artificial Neural Network or ANN and Support Vector Regression or SVR) models. More information can be obtained from Paul and Garai (2022) <doi:10.1007/s41096-022-00128-3>.

Authors:Mr. Sandip Garai [aut, cre]

AriGaMyANNSVR_0.1.0.tar.gz
AriGaMyANNSVR_0.1.0.zip(r-4.7)AriGaMyANNSVR_0.1.0.zip(r-4.6)AriGaMyANNSVR_0.1.0.zip(r-4.5)
AriGaMyANNSVR_0.1.0.tgz(r-4.6-any)AriGaMyANNSVR_0.1.0.tgz(r-4.5-any)
AriGaMyANNSVR_0.1.0.tar.gz(r-4.7-any)AriGaMyANNSVR_0.1.0.tar.gz(r-4.6-any)
AriGaMyANNSVR_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AriGaMyANNSVR/json (API)

# Install 'AriGaMyANNSVR' in R:
install.packages('AriGaMyANNSVR', repos = c('https://sandipgarai.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 741 downloads 6 exports 70 dependencies

Last updated from:7afec2e98c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK162
source / vignettesOK208
linux-release-x86_64OK165
macos-release-arm64OK120
macos-oldrel-arm64OK201
windows-develOK123
windows-releaseOK127
windows-oldrelOK125
wasm-releaseOK116

Exports:arigamy_annmy_svrseries_descstatseries_nonlinearityseries_stationarity

Dependencies:AllMetricsaTSAclassclicolorspacecpp11curlcvarDerivDescribeDFdplyre1071farverfastICAfBasicsfGarchFinTSfNonlinearforecastfracdiffgbutilsgenericsggplot2glueGPArotationgssgtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmnormtneuralnetnlmennetpillarpkgconfigproxypsychquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalesspatialstabledisttibbletidyselecttimeDatetimeSeriestseriesTTRurcautf8vctrsviridisLitewithrxtszoo