aedseo 0.1.2

Minor changes

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

aedseo 0.1.1

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

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.