Generates risk estimates and comorbidity flags from ICD-9-CM
codes available in administrative medical datasets. The package supports
the Charlson Comorbidity Index, the Elixhauser Comorbidity
classification, the Revised Cardiac Risk Index, and the Risk Stratification
Index.  Methods are table-based, fast, and use the 'plyr' package, so
parallelization is possible for large jobs. Also includes a sample of
real ICD-9 data for 100 patients from a publicly available dataset.

Tools for Obtaining and Cleaning Medicare Public Use Files
person("Robert", "Gambrel", email = "robert.gambrel@gmail.com",
role = c("aut", "cre"))
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>.
knitr, rmarkdown, dplyr, ggplot2, maps, magrittr, testthat

A simple meditation timer that logs session information.

audio, checkmate, deldir, graphics, stats, utils, wesanderson

Prints a Random Quote from Marcus Aurelius' Book Meditations
Prints a random quote from Marcus Aurelius' book Meditations.

Simple Mediation and Moderation Analysis
This toolbox allows you to do simple mediation and moderation
analysis. It is also available as a module for 'jamovi'
(see <https://www.jamovi.org> for more information). 'Medmod' is based
on the 'lavaan' package by Yves Rosseel. You can find an in depth tutorial
on the 'lavaan' model syntax used for this package on
<http://lavaan.ugent.be/tutorial/index.html>.

Access and Search MedRxiv and BioRxiv Preprint Data
c(
person("Luke", "McGuinness",
role = c("aut", "cre"),
email = "luke.mcguinness@bristol.ac.uk",
comment = c(ORCID = "0000-0001-8730-9761")),
person("Lena", "Schmidt",
role = "aut",
comment = c(ORCID = "0000-0003-0709-8226")),
person("Tuija", "Sonkkila",
role = "rev"),
person("Najko", "Jahn",
role = "rev"))
An increasingly important source of health-related bibliographic
content are preprints - preliminary versions of research articles that have
yet to undergo peer review. The two preprint repositories most relevant to
health-related sciences are medRxiv <https://www.medrxiv.org/> and
bioRxiv <https://www.biorxiv.org/>, both of which are operated by the Cold
Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the
'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>,
allowing users to easily download medRxiv and bioRxiv preprint metadata
(e.g. title, abstract, publication date, author list, etc) into R.
'medrxivr' also provides functions to search the downloaded preprint records
using regular expressions and Boolean logic, as well as helper functions
that allow users to export their search results to a .BIB file for easy
import to a reference manager and to download the full-text PDFs of
preprints matching their search criteria.
methods, dplyr, curl, jsonlite, httr, stringr, rlang, vroom,
bib2df, tibble, progress, lubridate
testthat (>= 2.1.0), knitr, rmarkdown, covr, kableExtra,
spelling
Luke McGuinness [aut, cre] (<https://orcid.org/0000-0001-8730-9761>),
Lena Schmidt [aut] (<https://orcid.org/0000-0003-0709-8226>),
Tuija Sonkkila [rev],
Najko Jahn [rev]