Determine the representativity of two multidimensional data sets
Contains workhorse function jrparams(), as well as two
helper functions Mboxtest() and JRsMahaldist(), and four
example data sets.

Create Representative Records After Entity Resolution
c(person("Andee", "Kaplan", email = "andee.kaplan@colostate.edu",
role = c("aut", "cre")),
person("Brenda", "Betancourt", role = "aut"),
person("Rebecca C.", "Steorts", email = "beka@stat.duke.edu", role = c("aut")))
An implementation of Kaplan, Betancourt, Steorts (2020) <arXiv:1810.01538> that creates representative records for use in downstream tasks after entity resolution is performed. Multiple methods for creating the representative records (data sets) are provided.
knitr, rmarkdown, blink, ggplot2, stringdist
Andee Kaplan [aut, cre],
Brenda Betancourt [aut],
Rebecca C. Steorts [aut]

An implementation of Kaplan, Betancourt, Steorts (2022) <doi:10.1080/00031305.2022.2041482> that creates representative records for use in downstream tasks after entity resolution is performed. Multiple methods for creating the representative records (data sets) are provided.

Reproducible research tools automates the creation of an analysis directory structure and work flow. There are R markdown
skeletons which encapsulate typical analytic work flow steps. Functions will create appropriate modules which may
pass data from one step to another.

person("Brian", "Fannin", email = "captain@pirategrunt.com", role = c("aut", "cre"))

Prepare Reproducible Example Code for Sharing
c(
person("Jennifer", "Bryan", , "jenny.f.bryan@gmail.com", role = c("aut", "cre")),
person("David", "Robinson", , "admiral.david@gmail.com", role = "aut")
)
Convenience wrapper that uses the 'rmarkdown' package to render
small snippets of code to target formats that include both code and output.
The goal is to encourage the sharing of small, reproducible, and runnable
examples on code-oriented websites, such as <http://stackoverflow.com> and
<https://github.com>, or in email. 'reprex' also extracts clean, runnable R
code from various common formats, such as copy/paste from an R session.
callr, clipr (>= 0.3.0), knitr, rmarkdown, tools, utils,
whisker
covr, devtools, formatR, fortunes, miniUI, rstudioapi, shiny,
shinyjs, testthat
Jennifer Bryan [aut, cre],
David Robinson [aut]