Suggests: spelling, testthat, covr, data.tree

person(given = "Ellis Hughes", role=c("ctb")),

Suggests: spelling, testthat, covr, data.tree,

comment="Original author and creator of DataPackageR"),
person(given = "Ellis Hughes", role=c("ctb","cre"), email = "ehhughes@scharp.org"),
person(given = "Jimmy Fulp", role=c("ctb"), email = "wfulp@scharp.org"),
person(given = "Marie Vendettuoli", role=c("ctb"), email = "mvendett@scharp.org"),
person(given = "Jason Taylor", role=c("ctb")),
Author: Greg Finak [aut, cph] (Original author and creator of DataPackageR),

Title: Interface to 'the CAVD DataSpace'
comment = "Sean reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/261>",
Description: Provides a convenient API interface to access immunological data
within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing
and discovery tool that facilitates exploration of HIV immunological data
from pre-clinical and clinical HIV vaccine studies.
Imports: utils, R6, Rlabkey (>= 2.2.0), curl, httr, assertthat, digest,
Sean Hughes [rev] (Sean reviewed the package for ropensci, see
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>

person("Jason", "Taylor", role = "aut"))
Suggests: testthat, covr, knitr, pryr, rmarkdown, DT

person("Jason", "Taylor", role = "aut"),
person("Helen", "Miller", role = "aut"))

Authors@R: c(person("Ju Yeong", "Kim", role = "aut"),
person("Jason", "Taylor", email = "jmtaylor@fredhutch.org", role = c("aut", "cre")),
person("Helen", "Miller", role = "aut"),
person("CAVD DataSpace", email = "dataspace.support@scharp.org", role = "cph"))
Suggests: testthat, covr, knitr, pryr, rmarkdown
Packaged: 2021-09-01 18:51:26 UTC; juyeongkim

Title: Visualizations of High-Dimensional Data
Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph")),person("Felix", "Pape",role=c("aut","rev")),person("Onno", "Hansen-Goos",role=c("ctr","ctb")),person("Fredericke", "Matz",role=c("ctr","ctb")),person("Alfred", "Ultsch",role=c("dtc","ctb")))
Description: Various visualizations of high-dimensional data such as heat map and silhouette plot for grouped data, visualizations of the distribution of distances, the scatter-density plot for two variables, the Shepard density plot and many more are presented here. Additionally, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through the combination of four methods. More detailed explanations can be found in the book of Thrun, M.C.:"Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
Imports: Rcpp (>= 0.12.12), AdaptGauss, ggplot2, magrittr
Suggests: plotly, plyr, akima, ggmap, reshape2