https://sparrow410.r-universe.devRecent package updates in sparrow410R-universehttps://github.com/sparrow410.pnghttps://sparrow410.r-universe.devThu, 08 Oct 2026 05:04:11 GMTryan00700@gmail.com (Mukul Maheshwari)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.https://github.com/r-universe/sparrow410/actions/runs/39235581365Thu, 08 Oct 2026 05:04:11 GMTforecastsuite1.0.2successhttps://sparrow410.r-universe.devhttps://github.com/sparrow410/forecast_dashboardforecastsuite.Rmdforecastsuite.htmlGetting started with forecastsuite2026-08-25 20:10:462026-08-25 20:10:46