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aedseo 0.3.0

CRAN release: 2025-04-09

Deprecations

Features

Improvements

  • Enhanced clarity and user guidance in the vignettes:

  • Improved the autoplot() function which can now visualise dates as days, weeks and months on the x-axis with the time_interval argument (#56).

  • Improved the epi_calendar() function to work for a season spanning new year (#34).

  • Using predict() on tsd_onset objects now uses the same time-scale as the given object (#61). That is, the time_interval attribute controls if predictions are by “days”, “weeks” or “months”.

  • The aedseo() function now allows for the choice of adding season as an input argument (#34).

  • checkmate assertions have been added to enhance user feedback with clearer error messages and to ensure functions operate correctly by validating inputs (#33).

  • Improved the aedseo() function to work with NA values. The user now defines how many NA values the function should allow in each window (#32).

Minor changes

  • Added Sofia Myrup Otero as an author of the R package (#55).

  • Added Rasmus Skytte Randløv as a reviewer of the R package (#55).

  • The disease_threshold argument now reflects the disease threshold in one time step. If the total number of cases in a window of size k exceeds disease_threshold * k, a seasonal onset alarm can be triggered (#32).

aedseo 0.1.2

CRAN release: 2023-11-27

Minor changes

  • Transferring maintainership of the R package to Lasse Engbo Christiansen.

aedseo 0.1.1

CRAN release: 2023-11-16

Improvements

  • Enhanced clarity and user guidance in the introductory vignette, providing a more comprehensive walkthrough of the application of the ‘aeddo’ algorithm on time series data with detailed explanations and illustrative examples.

Minor changes

  • Updated LICENSE.md to have Statens Serum Institut as a copyright holder.

  • Fixed installation guide for the development version in the README.Rmd and README.md

  • Added Lasse Engbo Christiansen as an author of the R package.

  • Added a new function epi_calendar() that determines the epidemiological season based on a given date, allowing users to easily categorize dates within or outside specified seasons.

  • Introduced additional visualizations in the autoplot() method, enhancing the capabilities of the plot() method with new displays of observed cases and growth rates.

aedseo 0.1.0

CRAN release: 2023-11-07

Features

  • Added the aedseo function, which automates the early detection of seasonal epidemic onsets by estimating growth rates for consecutive time intervals and calculating the Sum of Cases (sum_of_cases).

  • Introduced autoplot and plot methods for visualizing aedseo and aedseo_tsd objects. These functions allow you to create insightful ggplot2 plots for your data.

  • Included the fit_growth_rate function, enabling users to fit growth rate models to time series observations.

  • Introduced the predict method for aedseo objects, which allows you to predict observations for future time steps given the growth rates.

  • Added the summary method for aedseo objects, providing a comprehensive summary of the results.

  • Introduced the tsd function, allowing users to create S3 aedseo_tsd (time-series data) objects from observed data and corresponding dates.