Compute age-adjusted rates by direct and indirect methods and other epidemiological indicators in a tidy way, wrapping functions from the 'epitools' package.

Helper functions for processing 'REDCap' data in R. 'REDCap' is a 
    web-enabled application for building and managing surveys and databases 
    developed at Vanderbilt University.

Provides 'tidyverse' methods for wrangling
    and analyzing 'Earth Engine' <https://earthengine.google.com/> data. These methods help the user with filtering, 
    joining and summarising 'Earth Engine' image collections.

Allows users to quickly load multiple patients' electrocardiographic 
    (ECG) data at once and conduct relevant time analysis of heart rate variability 
    (HRV) without manual edits from a physician or data cleaning specialist. 
    The package provides the unique ability to iteratively filter, plot, 
    and store time analysis results in a data frame while writing plots to a 
    predefined folder. This streamlines the workflow for HRV analysis across 
    multiple datasets. Methods are based on Rodríguez-Liñares et al. (2011) 
    <doi:10.1016/j.cmpb.2010.05.012>. Examples of applications using this 
    package include Kwon et al. (2022) <doi:10.1007/s10286-022-00865-2> and 
    Lawrence et al. (2023) <doi:10.1016/j.autneu.2022.103056>.

With the objective of including data from RSS feeds into your analysis, 
    'tidyRSS' parses RSS, Atom and JSON feeds and returns a tidy data frame.

Provides functions to scale, log-transform and fit linear models within a 'tidyverse'-style R code framework.
    Intended to smooth over inconsistencies in output of base R statistical functions, allowing ease of teaching, learning and daily use. Inspired by the tidy principles used in 'broom' Robinson (2017) <doi:10.21105/joss.00341>.

Provides a framework to work with decision rules. Rules can be extracted from supported models, augmented with (custom) metrics using validation data, manipulated using standard dataframe operations, reordered and pruned based on a metric, predict on unseen (test) data. Utilities include; Creating a rulelist manually, Exporting a rulelist as a SQL case statement and so on. The package offers two classes; rulelist and ruleset based on dataframe.