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Test environments

  • local Windows install, R 4.0.0 and 3.6.2
  • ubuntu 16.04 (on travis-ci), R 4.0.0 and 3.6.2

R CMD check results

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Submission history

  • 05-05-2020
  • This is a minor version update, 0.8.0 to 0.9.0, for an existing CRAN package.
    • User-visible new features
      • New function create_skeleton() for analysis with big data.
      • New argument in create_lagged_df(..., predict_future = NULL) for predicting dynamic features.
      • Added the rmsse error metric from the M5 forecasting competition.
      • Forecast combination is clearer and now supports custom aggregation with combine_forecasts(..., aggregate = stats::median).
      • Added a new vignette for forecast combinations.
      • Continued improvement of plot aesthetics.
    • Bug fixes
      • Multiple grouping columns now works with create_lagged_df().
      • Support outcome column positions other than 1 in create_lagged_df().
      • Plotting single time series predictions with non-contiguous windows removes connecting line.
    • Internals
      • DESCRIPTION: works with dplyr < v1.0.0 and v1.0.0.
      • Reduced build time of existing vignettes.
      • Unit test code coverage = 83%.

  • 02-28-2020
  • This is a minor version update, 0.7.0 to 0.8.0, for an existing CRAN package.
    • User-visible new features
      • Support forecasting with multi-output models (e.g., multi-output neural networks).
      • Refined plot API including support for pivoting results with formulas.
      • Added a new vignette for forecasting grouped time series with factors.
    • Bug fixes
      • Forecast combinations with grouped time series and factors now works.
      • Set required R version to 3.5.0
    • Internals
      • Substantial code refactor
      • Unit test code coverage = 82%.

  • 01-06-2020
  • This is a minor version update, 0.6.0 to 0.7.0, for an existing CRAN package.
    • User-visible new features
      • Support forecasting factor outcome levels and probabilities.
      • Add function combine_forecasts() to produce final h-step-ahead forecasts from ensemble models.
      • Reworked vignettes for style and to cover the most common use cases.
    • Bug fixes
      • None
    • Internals
      • Refactored return_error() to support the addition of new error metrics in zzz.R
      • Unit test code coverage = 83%.

  • 11-22-2019
  • This is a minor version update, 0.5.0 to 0.6.0, for an existing CRAN package.
    • User-visible new features
      • Support sub-daily forecasting with the POSIXt datetime class.
      • Support a vector of custom validation windows in create_lagged_df() with window_start and window_stop.
      • The create_lagged_df(..., keep_rows = TRUE) argument allows retaining the first N rows of an ungrouped training dataset.
      • Simplified plots by removing window numbers from the legened with grouped time series.
      • Updated documentation.
    • Bug fixes
      • MAPE error metrics were incorrectly set to median MAPE metrics for error results by window.
      • return_hyper() now returns the correct window number.
      • Printed forcats warning message suppressed when plotting empty data.frames which is the desired behavior.
      • Support plotting numerical and categorical hyperparameters in plot.forecast_model_hyper()
    • Internals
      • Add dtplyr and data.table to the DESCRIPTION file and remove stringr.
      • Unit test code coverage increased from ~40% to 83%.

  • 10-8-2019

  • This is a resubmission of a new-to-CRAN release. Changes include:

    • Reduced DESCRIPTION from 103 to 74 words.
    • Added a number of stop("message") checks on the input arguments for all functions and methods (~15 additional). The checks include various missing(), is.null(), and argument type checks.
    • Minor changes in help docs for language consistency and to clarify required arguments and argument types.
    • Added new unit tests; package has ~40% code coverage.

  • 10-2-2019

    • Reduced build time by several minutes (< 5 min w/ devtools::check())
    • Removed donttest{} in all examples
    • Fixed copyright format