# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "forecastsuite" in publications use:' type: software license: MIT title: 'forecastsuite: Multi-Model Time Series Forecasting Toolkit and Local App' version: 1.0.2 doi: 10.32614/CRAN.package.forecastsuite abstract: '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) ), Error, Trend, Seasonal (ETS) exponential smoothing (Hyndman et al. (2002) ), Trigonometric seasonality, Box-Cox transformation, AutoRegressive Moving Average (ARMA) errors, Trend and Seasonal components (TBATS) models (De Livera, Hyndman and Snyder (2011) ), Neural Network AutoRegression (NNETAR) and Holt-Winters exponential smoothing (Winters (1960) ), plus optional ''Prophet'' models via the ''prophet'' package (Taylor and Letham (2018) ) and Long Short-Term Memory (LSTM) networks via the ''torch'' package (Hochreiter and Schmidhuber (1997) ). Also provides grouped series with bottom-up and top-down reconciliation, rolling-origin cross-validation, ensembles and residual diagnostics, following Hyndman and Athanasopoulos (2021) , and a bundled local ''shiny'' application exposing every model.' authors: - family-names: Maheshwari given-names: Mukul email: ryan00700@gmail.com orcid: https://orcid.org/0000-0002-1918-5100 repository: https://sparrow410.r-universe.dev repository-code: https://github.com/SpaRroW410/Forecast_dashboard commit: c5d29d939c1263161093368f314e34878662bcdc url: https://github.com/SpaRroW410/Forecast_dashboard/tree/main/forecastsuite date-released: '2026-10-08' contact: - family-names: Maheshwari given-names: Mukul email: ryan00700@gmail.com orcid: https://orcid.org/0000-0002-1918-5100