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.

Please note that this is the initial CRAN release of the aedseo package, and we look forward to adding more features and improvements in future updates. We appreciate your feedback and contributions to make this package even more useful for early detection of seasonal epidemics.