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-any)AriGaMyANNSVR_0.1.0.zip(r-4.6-any)AriGaMyANNSVR_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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 521 downloads 6 exports 70 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK138
source / vignettesOK253
linux-releaseOK159
macos-releaseOK122
macos-oldrelOK101
windows-develOK117
windows-releaseOK95
windows-oldrelOK116
wasm-releaseOK106

Exports:arigamy_annmy_svrseries_descstatseries_nonlinearityseries_stationarity

Dependencies:AllMetricsaTSAclassclicolorspacecpp11curlcvarDerivDescribeDFdplyre1071farverfastICAfBasicsfGarchFinTSfNonlinearforecastfracdiffgbutilsgenericsggplot2glueGPArotationgssgtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmnormtneuralnetnlmennetpillarpkgconfigproxypsychquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalesspatialstabledisttibbletidyselecttimeDatetimeSeriestseriesTTRurcautf8vctrsviridisLitewithrxtszoo