Weave and tangle drivers for Sweave extending the
  standard drivers. RweaveExtraLatex and RtangleExtra provide options
  to completely ignore code chunks on weaving, tangling, or both.
  Chunks ignored on weaving are not parsed, yet are written out
  verbatim on tangling. Chunks ignored on tangling may be evaluated as
  usual on weaving, but are completely left out of the tangled
  scripts. The driver RtangleExtra also provides options to control
  the separation between code chunks in the tangled script, and to
  specify the extension of the file name (or remove it entirely) when
  splitting is selected.

An R interface to Weka (Version 3.9.3).
   Weka is a collection of machine learning algorithms for data mining
   tasks written in Java, containing tools for data pre-processing,
   classification, regression, clustering, association rules, and
   visualization.  Package 'RWeka' contains the interface code, the
   Weka jar is in a separate package 'RWekajars'.  For more information
   on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.

External jars required for package 'RWeka'.

Communications simulation package supporting forward error correction.

Random walk functions to extract new variables based on clients transactional behaviour. For more details, see Eddin et al. (2021) <arXiv:2112.07508v3> and Oliveira et al. (2021) <arXiv:2102.05373v2>.

A straightforward, easy-to-use and robust parsing package which aims to
    digest history files from the popular messenger service 'WhatsApp' in all locales
    and from all devices.

Provides functions to simulate and analyze data for a regression model with an interval censored covariate, as described in Morrison et al. (2021) <doi:10.1111/biom.13472>.

Provides Wiener process distribution functions,
  namely the Wiener first passage time density, CDF, quantile and random
  functions. Additionally supplies a modelling function (wdm) and further
  methods for the resulting object.

Provides an interface with the 'Wildbook' mark-recapture ecological database framework. It 
    helps users to pull data from the 'Wildbook' framework and format data for further analysis
    with mark-recapture applications like 'Program MARK' (which can be accessed via the 'RMark' package in 'R').
    Further information on the 'Wildbook' framework is available at: <http://www.wildbook.org/doku.php>.