c(person("Matthew E.", "Baker", email = "mbaker@umbc.edu", role = c("aut", "cph"), comment = c(ORCID = "0000-0001-5069-0204")),
person("Ryan S.", "King",email = "Ryan_S_King@baylor.edu", role = c("aut", "cph"), comment = c(ORCID = "0000-0002-3159-9816")),
person("David", "Kahle", email = "david@kahle.io", role = c("aut", "cph", "cre"), comment = c(ORCID = "0000-0002-9999-1558")))
parallel, dplyr, ggplot2, glue, cowplot, ggridges, purrr,
tibble, snow

Non-parametric resampling-based inference tests for
TExPosition.
prettyGraphs (>= 2.0.0), TExPosition (>= 2.0.0), ExPosition
(>= 2.0.0), InPosition

Non-parametric resampling-based inference tests for TExPosition.
prettyGraphs (>= 2.1.4), TExPosition (>= 2.6.10), ExPosition
(>= 2.8.19), InPosition (>= 0.12.7)

Facilitate the management of data from knowledge
resources that are frequently used alone or together
in research environments.
In 'TKCat', knowledge resources are manipulated as modeled database (MDB)
objects. These objects provide access to the data tables along with a general
description of the resource and a detail data model documenting the
tables, their fields and their relationships.
These MDB are then gathered in catalogs that can be easily
explored an shared.
Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and
create new catalogs suited for specific needs.
R (>= 3.6), ReDaMoR (>= 0.4.3), magrittr, dplyr, DBI,
RClickhouse (>= 0.5.2)
rlang, tidyselect, visNetwork, getPass, shiny, shinydashboard,
DT, readr, jsonlite, jsonvalidate, base64enc, markdown,
promises, future

R (>= 3.6), ReDaMoR (>= 0.5.2), magrittr, dplyr, DBI,
RClickhouse (>= 0.6.0)
rlang, tidyselect, visNetwork, getPass, shiny, shinydashboard,
DT, htmltools, readr, jsonlite, jsonvalidate (>= 1.3.2),
base64enc, markdown, promises, future, xml2, uuid

Facilitate the management of data from knowledge
resources that are frequently used alone or together
in research environments.
In 'TKCat', knowledge resources are manipulated as modeled database (MDB)
objects. These objects provide access to the data tables along with a general
description of the resource and a detail data model documenting the
tables, their fields and their relationships.
These MDBs are then gathered in catalogs that can be easily
explored an shared.
Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and
create new catalogs suited for specific needs.
R (>= 3.6), ReDaMoR (>= 0.6.0), magrittr, DBI, dplyr
ClickHouseHTTP, rlang, tidyselect, visNetwork, getPass, shiny,
shinydashboard, DT, htmltools, readr, jsonlite, jsonvalidate
(>= 1.3.2), base64enc, markdown, promises, future, xml2,
Matrix, uuid
knitr, rmarkdown, stringr, RClickhouse, data.tree, BED