Color schemes ready for each type of data (qualitative,
    diverging or sequential), with colors that are distinct for all
    people, including color-blind readers. This package provides an
    implementation of Paul Tol (2018) and Fabio Crameri (2018)
    <doi:10.5194/gmd-11-2541-2018> color schemes for use with 'graphics'
    or 'ggplot2'. It provides tools to simulate color-blindness and to
    test how well the colors of any palette are identifiable. Several
    scientific thematic schemes (geologic timescale, land cover, FAO
    soils, etc.) are also implemented.

Contains kidney care oriented functions.
			 Current version contains functions for calculation of:
			 - Estimated glomerular filtration rate by CKD-EPI (2021 and 2009), MDRD, CKiD, FAS, EKFC, etc.
			 - Kidney Donor Risk Index and Kidney Donor Profile Index for kidney transplant donors.
			 - Citation: Bikbov B. kidney.epi: Kidney-Related Functions for Clinical and Epidemiological Research. Scientific-Tools.Org, <https://Scientific-Tools.Org>.  <doi:10.32614/CRAN.package.kidney.epi>.

Caches and then connects to a 'sqlite' database containing half a million pediatric drug safety signals. 
    The database is part of a family of resources catalogued at <https://nsides.io>. The database
    contains 17 tables where the description table provides a map between the fields the field's details. 
    The database was created by Nicholas Giangreco during his PhD thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>. 
    The observations are from the Food and Drug Administration's Adverse Event Reporting System. Generalized additive models estimated
    drug effects across child development stages for the occurrence of an adverse event when exposed to a drug compared to other drugs.
    Read more at the methods detailed in Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.

Optimized for handling complex datasets in environmental and ecological 
    research, this package offers functionality that is not fully met by 
    general-purpose packages. It provides two key functions, 'summarize_data()', 
    which summarizes datasets, and 'plot_means()', which creates plots with 
    error bars. The 'plot_means()' function incorporates error bars by default, 
    allowing quick visualization of uncertainties, crucial in ecological 
    studies. It also streamlines workflows for grouped datasets (e.g., 
    by species or treatment), making it particularly user-friendly and reducing 
    the complexity and time required for data summarization and visualization.