Package: iForecast 1.1.2

Ho Tsung-wu

iForecast: Machine Learning Time Series Forecasting

Compute onestep and multistep time series forecasts for machine learning models.

Authors:Ho Tsung-wu [aut, cre]

iForecast_1.1.2.tar.gz
iForecast_1.1.2.zip(r-4.7-any)iForecast_1.1.2.zip(r-4.6-any)
iForecast_1.1.2.tar.gz(r-4.7-any)iForecast_1.1.2.tar.gz(r-4.6-any)
iForecast_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
iForecast/json (API)

# Install 'iForecast' in R:
install.packages('iForecast', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • bc - Economic and Financial Data Sets
  • ES_15m - Economic and Financial Data Sets
  • ES_Daily - Economic and Financial Data Sets
  • macrodata - Economic and Financial Data Sets

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 1 stars 5 scripts 342 downloads 11 exports 74 dependencies

Last updated from:f4f3d4c351. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK247
source / vignettesOK212
linux-releaseOK209
windows-develOK128
windows-releaseOK125
wasm-releaseOK155

Exports:AccuracyiForecastiForecast.varrollingWindowstts.autoMLtts.carettts.DeepLearningtts.varttsAutoMLttsCaretttsLSTM

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrzoo