Allows users to stem Arabic texts for text analysis.

c(person("Pedro", "Cardoso", email = "pedro.cardoso@helsinki.fi", role = c("aut", "cre")))
Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
graphics, httr, jsonlite, rgbif, rworldmap, rworldxtra, stats,
utils

ape, graphics, httr, jsonlite, phytools, rgbif, rworldmap,
rworldxtra, stats, utils

Implements the Classification-based on
Association Rules (CBA) algorithm for association rule classification (ARC).
The package also contains several convenience methods that allow to automatically
set CBA parameters (minimum confidence, minimum support) and it also natively
handles numeric attributes by integrating a pre-discretization step.
The rule generation phase is handled by the 'arules' package.
R (>= 3.2.3), arules, R.utils, discretization

R (>= 3.2.3), arules (>= 1.5-0), R.utils, discretization

Implements the Classification-based on
Association Rules (CBA) (Bing Liu, Wynne Hsu,	Yiming Ma (1999) <http://dl.acm.org/citation.cfm?id=3000292.3000305>) algorithm for association rule classification (ARC).
The package also contains several convenience methods that allow to automatically
set CBA parameters (minimum confidence, minimum support) and it also natively
handles numeric attributes by integrating a pre-discretization step.
The rule generation phase is handled by the 'arules' package.
To further decrease the size of the CBA models produced by the 'arc' package, postprocessing by the
'qCBA' package is suggested.
The mdlp2.R script reuses parts of the code from the R
`discretization` package by HyunJi Kim (GPL license).

Implements the Classification-based on
Association Rules (CBA) (Bing Liu, Wynne Hsu,	Yiming Ma (1999) <https://dl.acm.org/doi/10.5555/3000292.3000305>) algorithm for association rule classification (ARC).
The package also contains several convenience methods that allow to automatically
set CBA parameters (minimum confidence, minimum support) and it also natively
handles numeric attributes by integrating a pre-discretization step.
The rule generation phase is handled by the 'arules' package.
To further decrease the size of the CBA models produced by the 'arc' package, postprocessing by the
'qCBA' package is suggested. QCBA package can be obtained from CRAN archive or from <https://github.com/kliegr/QCBA>.
R (>= 3.2.3), arules (>= 1.6-6), R.utils, discretization