Includes multiple cross-platform read/write interfaces for
'RAVE' project. 'RAVE' stands for "R analysis and visualization of human
intracranial electroencephalography data". The whole project aims at
providing powerful free-source package that analyze brain recordings from
patients with electrodes placed on the cortical surface or inserted into
the brain. 'raveio' as part of this project provides tools to read/write
neurophysiology data from/to 'RAVE' file structure, as well as several
popular formats including  'EDF(+)', 'Matlab', 'BIDS-iEEG', and 'HDF5',
etc. Documentation and examples about 'RAVE' project are provided at
<https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti,
Zhengjia Wang, Michael S. Beauchamp (2020)
<doi:10.1016/j.neuroimage.2020.117341>; see 'citation("raveio")' for
details.

testthat, reticulate, knitr, rmarkdown, bs4Dash, clustermq,
shiny, shinybusy, visNetwork, shinyWidgets, arrow

rpymat, visNetwork, testthat, reticulate, knitr, rmarkdown,
bs4Dash, clustermq, shiny, shinybusy, shinyWidgets, arrow,
ravetools, later (>= 1.3.0)

c(
person("Zhengjia", "Wang", email = "dipterix.wang@gmail.com", role = c("aut", "cre", "cph")),
person("Beauchamp lab", email = "beauchamplab@gmail.com", role = c("cph", "fnd"))
)
Zhengjia Wang [aut, cre, cph],
Beauchamp lab [cph, fnd]

person(given = "Kaylin",
family = "Pavlik",
role = c("aut", "cre"),
email = "walkerkq2@gmail.com")
Provides access to the 'Ravelry' API <https://www.ravelry.com/groups/ravelry-api>. An R wrapper for pulling data from 'Ravelry.com', an organizational tool for crocheters, knitters, spinners, and weavers. You can retrieve pattern, yarn, author, and shop information by search or by a given id.
httr, jsonlite, dplyr, tibble, purrr, tidyr

An R Interface for Raven DataFrames (Beta0)
c(
person(given = "Phil",
family = "Gaiser",
role = c("aut", "cre"),
email = "phil.gaiser@raven-computing.com"),
person("Raven Computing", role = "cph"))
Provides an I/O interface between R data.frames and
Raven DataFrames. Defines functions to both read and write DataFrame
files, as well as serialize/deserialize data.frames/DataFrames.
Phil Gaiser [aut, cre],
Raven Computing [cph]