Package: forecastsuite
Title: Multi-Model Time Series Forecasting Toolkit and Local App
Version: 1.0.2
Authors@R: person("Mukul", "Maheshwari", email = "ryan00700@gmail.com",
    role = c("aut", "cre", "cph"),
    comment = c(ORCID = "0000-0002-1918-5100"))
Description: 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.
License: MIT + file LICENSE
URL:
        https://github.com/SpaRroW410/Forecast_dashboard/tree/main/forecastsuite
BugReports: https://github.com/SpaRroW410/Forecast_dashboard/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Collate: 'forecastsuite-package.R' 'globals.R' 'registry.R'
        'horizon_utils.R' 'data_utils.R' 'aggregate_period.R'
        'grouping_utils.R' 'reconciliation.R' 'ensemble.R'
        'date_parts.R' 'google_sheets.R' 'metric_utils.R'
        'multi_window_metrics.R' 'rolling_cv.R' 'holidays_helpers.R'
        'contingency.R' 'model_shared.R' 'model_prophet.R'
        'model_arima.R' 'model_sarima.R' 'model_ets.R' 'model_tbats.R'
        'model_nnetar.R' 'model_holtwinters.R' 'model_lstm.R'
        'plot_generic.R' 'plot_png.R' 'plot_diagnostics.R'
        'recommend.R' 'diagnostics.R' 'bias_drift.R' 'suggest_params.R'
        'code_gen.R' 'app_guide.R' 'app_workflow_guide.R'
        'app_holidays.R' 'ui_helpers.R' 'app_ui.R' 'project_io.R'
        'app_server.R' 'run_app.R' 'zzz_register_builtins.R'
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
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-10-18 18:25:16 UTC; root
Author: Mukul Maheshwari [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0002-1918-5100>)
Maintainer: Mukul Maheshwari <ryan00700@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-18 18:13:01 UTC
RemoteUrl: https://github.com/cran/forecastsuite
RemoteRef: HEAD
RemoteSha: bba6f19b04a1dd96d18f6ebe1a159bd83937255e