grDevices, htmltools (>= 0.5.4), jsonlite (>= 0.9.16), yaml,
knitr (>= 1.8), rmarkdown

Ramnath Vaidyanathan [aut, cph],
  Yihui Xie [aut],
  JJ Allaire [aut],
  Joe Cheng [aut],
  Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>),
  Kenton Russell [aut, cph],
  Ellis Hughes [ctb],
  RStudio [cph]

Output Analysis and Diagnostics for MCMC

c(person("Martyn", "Plummer", role=c("aut","cre","trl"),
       	            email="martyn.plummer@gmail.com"),
             person("Nicky", "Best", role="aut"),
             person("Kate", "Cowles", role="aut"),
             person("Karen", "Vines", role="aut"),
             person("Deepayan", "Sarkar", role="aut"),
	     person("Douglas", "Bates", role="aut"),
             person("Russell", "Almond", role="aut"),
	     person("Arni", "Magnusson", role="aut"))

Provides functions for summarizing and plotting the
	output from Markov Chain Monte Carlo (MCMC) simulations, as
	well as diagnostic tests of convergence to the equilibrium
	distribution of the Markov chain.

Martyn Plummer [aut, cre, trl],
  Nicky Best [aut],
  Kate Cowles [aut],
  Karen Vines [aut],
  Deepayan Sarkar [aut],
  Douglas Bates [aut],
  Russell Almond [aut],
  Arni Magnusson [aut]

c(person(given = "Hadley",
             family = "Wickham",
             role = "aut",
             email = "hadley@rstudio.com"),
      person(given = "Jim",
             family = "Hester",
             role = "aut"),
      person(given = "Winston",
             family = "Chang",
             role = c("aut", "cre"),
             email = "winston@rstudio.com"),
      person(given = "Kirill",
             family = "Müller",
             role = "aut",
             email = "krlmlr+r@mailbox.org"),
      person(given = "Daniel",
             family = "Cook",
             role = "aut",
             email = "danielecook@gmail.com"),
      person(given = "Mark",
             family = "Edmondson",
             role = "ctb",
             email = "r@sunholo.com"))

Cache the results of a function so that when you
    call it again with the same arguments it returns the previously computed
    value.