Plot Flow Charts According to the "PRISMA" Statement
person("Jack O. Wasey", role = c("aut", "cre", "cph"), email = "jack@jackwasey.com")
Plot a PRISMA <http://prisma-statement.org/> flow chart
describing the identification, screening, eligibility and inclusion or studies in
systematic reviews. PRISMA is an evidence-based minimum set of items for reporting
in systematic reviews and meta-analyses. PRISMA focuses on the reporting of reviews
evaluating randomized trials, but can also be used as a basis for reporting
systematic reviews of other types of research, particularly evaluations of
interventions.

person(given = "Jack O. Wasey",
role = c("aut", "cre", "cph"),
email = "jack@jackwasey.com")
Plot a PRISMA <http://prisma-statement.org/> flow
chart describing the identification, screening, eligibility and
inclusion or studies in systematic reviews. PRISMA is an
evidence-based minimum set of items for reporting in systematic
reviews and meta-analyses. PRISMA focuses on the reporting of reviews
evaluating randomized trials, but can also be used as a basis for
reporting systematic reviews of other types of research, particularly
evaluations of interventions.

DiagrammeRsvg, knitr, rmarkdown, rsvg, testthat, utils

person(given = "Jack O. Wasey",
role = c("aut", "cre", "cph"),
email = "jack@jackwasey.com",
comment = c(ORCID = "0000-0003-3738-4637"))
Plot a PRISMA <http://prisma-statement.org/> flow
chart describing the identification, screening, eligibility and
inclusion or studies in systematic reviews. The PRISMA statement
defines an evidence-based, minimal set of items for reporting in
systematic reviews and meta-analyses. PRISMA should be used for the
reporting of studies evaluating randomized clinical trials (RCT), and
is also for reporting on systematic reviews of other types of
research. There is also a function to generate flow charts describing
exclusions and inclusions for any kind of study.
DiagrammeRsvg, knitr, rmarkdown, rsvg, scales, testthat,
utils

Interactive Document for Working with Basic Probability
An interactive document on  the topic of basic probability using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://analyticmodels.shinyapps.io/BayesShiny/>.