c(person("CRAN Team", role = c('ctb', 'cre'),
email = "CRAN@r-project.org",
comment = "de facto maintainer since 2014"),
person("Duncan", "Temple Lang", role = "aut",
email = "duncan@r-project.org",
comment = c(ORCID = "0000-0003-0159-1546")),
person("Jonathan", "Wallace", role = "aut",
comment = "aka ninja9578, author of included libjson sources"))
CRAN Team [ctb, cre] (de facto maintainer since 2014),
Duncan Temple Lang [aut] (<https://orcid.org/0000-0003-0159-1546>),
Jonathan Wallace [aut] (aka ninja9578, author of included libjson
sources)

c(person("Duncan", "Temple Lang", role = c("aut", "cre"),
email = "duncan@r-project.org",
comment = c(ORCID = "0000-0003-0159-1546")),
person("ninja9578", role = "aut",
comment = "Author of included libjson sources"))
Duncan Temple Lang [aut, cre] (<https://orcid.org/0000-0003-0159-1546>),
ninja9578 [aut] (Author of included libjson sources)

Semantic packaging tools for standard analytics
Package the results of standard statistical functions into
JSON-LD. Semantics can be explored at
https://standardanalytics.io/stats, and discussed at
https://github.com/standard-analytics/RJSONLD

Package the results of standard statistical functions into
JSON-LD. Semantics can be explored at
https://standardanalytics.io/stats, and discussed at
https://github.com/standard-analytics/terms

Package the results of standard statistical functions into
JSON-LD. Semantics can be explored at
http://standardanalytics.io/stats, and discussed at
https://github.com/standard-analytics/terms

Package the results of standard statistical functions into
JSON-LD. Semantics are defined at
https://github.com/standard-analytics/Schemas

Creates interactive graphs with 'R'. It joins the data analysis power of R and the visualization libraries of JavaScript in one package.

Reversible Jump MCMC for the analysis of CGH arrays.
Oscar Rueda <omrueda@cnio,es> and Ramon Diaz-Uriarte <rdiaz@ligarto.org>
Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models.
The selection of the number of states is made via their posterior probability
computed by Reversible Jump Markov Chain Monte Carlo Methods.