SCDB - Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)

A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).

Last updated 14 days ago

7.38 score 6 stars 1 dependents 11 scripts 413 downloads

diseasystore - Feature Stores for the 'diseasy' Framework

Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.

Last updated 13 days ago

6.96 score 4 stars 16 scripts 314 downloads

aedseo - Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels

A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) <doi:10.1098/rspb.2006.3754> and Obadia et al. (2012) <doi:10.1186/1472-6947-12-147>. Seasonal burden level calculations have been inspired by The Moving Epidemic Method (MEM), see Vega and Lozano (2012) <doi:10.1111/j.1750-2659.2012.00422.x>.

Last updated 1 days ago

5.72 score 1 stars 8 scripts 306 downloads

aeddo - Automated and Early Detection of Disease Outbreaks

A powerful tool for automating the early detection of disease outbreaks in time series data. 'aeddo' employs advanced statistical methods, including hierarchical models, in an innovative manner to effectively characterize outbreak signals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to disease outbreaks in a timely fashion. For a detailed reference on hierarchical models, consult Henrik Madsen and Poul Thyregod's book (2011), ISBN: 9781420091557.

Last updated 1 years ago

3.70 score 1 stars 2 scripts 304 downloads