DESCRIPTION

Package: farff
Title: A Faster 'ARFF' File Reader and Writer
Version: 1.1.1
Authors@R:
    c(person(given = "Marc",
             family = "Becker",
             role = c("cre", "aut"),
             email = "marcbecker@posteo.de",
             comment = c(ORCID = "0000-0002-8115-0400")),
      person(given = "Bernd",
             family = "Bischl",
             role = "aut",
             email = "bernd_bischl@gmx.net",
             comment = c(ORCID = "0000-0001-6002-6980")),
      person(given = "Jakob",
             family = "Bossek",
             role = "aut",
             email = "j.bossek@gmail.com"))
Description: Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation
    File Format) files are like 'CSV' files, with a little bit of added
    meta information in a header and standardized NA values. They are
    quite often used for machine learning data sets and were introduced
    for the 'WEKA' machine learning 'Java' toolbox. See
    <https://waikato.github.io/weka-wiki/formats_and_processing/arff_stable/>
    for further info on 'ARFF' and for
    <http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'.
    'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and
    it is at least a faster reader (for bigger files). It uses 'readr' as
    parser back-end for the data section of the 'ARFF' file. Consistency
    with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of
    'ARFF' files from 'OpenML'.
License: BSD_2_clause + file LICENSE
URL: https://github.com/mlr-org/farff
BugReports: https://github.com/mlr-org/farff/issues
Imports:
    BBmisc,
    checkmate (>= 1.8.0),
    readr (>= 1.0.0),
    stringi
Suggests:
    OpenML,
    testthat
ByteCompile: yes
Encoding: UTF-8
RoxygenNote: 7.1.1