Title: A Faster 'ARFF' File Reader and Writer
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 <http://weka.wikispaces.com/ARFF> 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'. Note that the 'OpenML' package is currently only available from 'Github' at: <https://github.com/openml/openml-r>.
role = c("aut", "cre")), person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = c("aut")))
Imports: BBmisc, checkmate (>= 1.8.0), stringi, readr (>= 1.0.0)

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
<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
Imports: BBmisc, checkmate (>= 1.8.0), readr (>= 1.0.0), stringi

Title: Mixed Integer model of Arable Farms
Maintainer: Ira R. Cooke <iracooke@gmail.com>
Description: A mixed integer description of an arable farm. Finds
optimal farming plans given economic and social preference