forecastsuite: Multi-Model Time Series Forecasting Toolkit and Local App

Fits, compares and visualizes univariate time series forecasts through an extensible model registry built largely on the 'forecast' package: AutoRegressive Integrated Moving Average (ARIMA) and Seasonal ARIMA (SARIMA) models (Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>), Error, Trend, Seasonal (ETS) exponential smoothing (Hyndman et al. (2002) <doi:10.1016/S0169-2070(01)00110-8>), Trigonometric seasonality, Box-Cox transformation, AutoRegressive Moving Average (ARMA) errors, Trend and Seasonal components (TBATS) models (De Livera, Hyndman and Snyder (2011) <doi:10.1198/jasa.2011.tm09771>), Neural Network AutoRegression (NNETAR) and Holt-Winters exponential smoothing (Winters (1960) <doi:10.1287/mnsc.6.3.324>), plus optional 'Prophet' models via the 'prophet' package (Taylor and Letham (2018) <doi:10.1080/00031305.2017.1380080>) and Long Short-Term Memory (LSTM) networks via the 'torch' package (Hochreiter and Schmidhuber (1997) <doi:10.1162/neco.1997.9.8.1735>). Also provides grouped series with bottom-up and top-down reconciliation, rolling-origin cross-validation, ensembles and residual diagnostics, following Hyndman and Athanasopoulos (2021) <https://otexts.com/fpp3/>, and a bundled local 'shiny' application exposing every model.

Version:	1.0.2
Depends:	R (≥ 4.1)
Imports:	shiny, dplyr, lubridate, tibble, tidyr, stringr, plotly, DT, forecast, zoo, shinycssloaders, shinyjs, colourpicker, stats, utils, grDevices, graphics
Suggests:	prophet, torch, readxl, writexl, testthat (≥ 3.0.0), withr, rmarkdown, knitr
Published:	2026-10-18
DOI:	10.32614/CRAN.package.forecastsuite (may not be active yet)
Author:	Mukul Maheshwari [aut, cre, cph]
Maintainer:	Mukul Maheshwari <ryan00700 at gmail.com>
BugReports:	https://github.com/SpaRroW410/Forecast_dashboard/issues
License:	MIT + file LICENSE
URL:	https://github.com/SpaRroW410/Forecast_dashboard/tree/main/forecastsuite
NeedsCompilation:	no
Materials:	README
CRAN checks:	forecastsuite results [issues need fixing before 2026-11-09]

Documentation:

Reference manual:	forecastsuite.html , forecastsuite.pdf
Vignettes:	Getting started with forecastsuite (source, R code)

Downloads:

Package source:	forecastsuite_1.0.2.tar.gz
Windows binaries:	r-devel: forecastsuite_1.0.2.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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