DESCRIPTION

Package: tweetio
Title: Really, Really, Ridiculously Fast I/O, Transformation, and Analytical Routines Twitter Data
Version: 0.1
Authors@R: 
    person("Brendan", "Knapp", 
           email = "brendan.g.knapp@nps.edu", 
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3284-4972"))
Description: 
    `{tweetio}` has three goals: 1) efficiently read Twitter data into R from multiple 
    sources, 2) provide the building blocks for robust analytical pipelines that use 
    network, spatial, and/or natural language processing perspectives, and 3) write Twitter
    data to multiple file formats, including those that best enable non-technical analysts 
    to work. The primary data structure is inspired by `{rtweet}`, and 
    all analytical routines being compatible with `{rtweet}` data frames is heavily
    prioritized.
License: GPL-3 + file LICENSE
Depends: R (>= 3.3)
SystemRequirements: zlib, C++11
LinkingTo:
    rapidjsonr,
    Rcpp, 
    RcppProgress
Imports:
    data.table (>= 1.12.4),
    jsonify,
    magrittr,
    Rcpp,
    stringi,
    utils
Suggests:
    covr,
    igraph,
    knitr,
    future,
    future.apply,
    network,
    openxlsx,
    rtweet,
    sf,
    testthat (>= 2.1.0),
    tibble,
    rmarkdown
Remotes: 
    SymbolixAU/jsonify
URL: https://github.com/knapply/tweetio, https://knapply.github.io/tweetio
BugReports: https://github.com/knapply/tweetio/issues
Encoding: UTF-8
LazyData: yes
RoxygenNote: 7.0.2
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr