Provides comorbidity classification algorithms such as the
  Pediatric Complex Chronic Conditions (PCCC), Charlson, and Elixhauser indices,
  supports longitudinal comorbidity flagging across encounters, and includes
  utilities for working with medical coding schemas such as the International
  Classification of Diseases (ICD).

Provides access to well-documented medical datasets for teaching.
    Featuring several from the Teaching of Statistics in the Health Sciences 
    website <https://www.causeweb.org/tshs/category/dataset/>, a few reconstructed datasets of historical significance in medical
    research, some reformatted and extended from existing R packages, 
    and some data donations.

Publicly available data from Medicare frequently requires extensive
    initial effort to extract desired variables and merge them; this package
    formalizes the techniques I've found work best. More information on the 
    Medicare program, as well as guidance for the publicly available data this package 
    targets, can be found on CMS's website covering publicly available data. See <https://www.cms.gov/Research-Statistics-Data-and-Systems/Research-Statistics-Data-and-Systems.html>.

Prints a random quote from Marcus Aurelius' book Meditations.

Contains a dataset of morphological and structural features of 'Medicinal LEAves (MedLEA)'. The features of each species is recorded by manually viewing the medicinal plant repository available at (<http://www.instituteofayurveda.org/plants/>). You can also download repository of leaf images of 1099 medicinal plants in Sri Lanka.

This toolbox allows you to do simple mediation and moderation
    analysis. Models are estimated with the 'lavaan' package by Rosseel (2012)
    <doi:10.18637/jss.v048.i02>; standard errors for the mediation estimates
    are computed with the delta method following Sobel (1982)
    <doi:10.2307/270723> or by bootstrapping. It is also available as a module
    for 'jamovi' (see <https://www.jamovi.org> for more information). You can
    find an in depth tutorial on the 'lavaan' model syntax used for this
    package on <https://lavaan.ugent.be/tutorial/index.html>.