Showcasing needmining (the semi-automatic extraction of customer needs from
social media data) with Twitter data. It uses the handling of the Twitter API provided by
the package 'rtweet' and the textmining algorithms provided by the packages 'RTextTools' and 'tm'.
Niklas Kuehl (2016) <doi:10.1007/978-3-319-32689-4_14> wrote an introduction to the topic of needmining.

Dorian Proksch <dorian.proksch@hhl.de>, Timothy P. Jurka [ctb], Yoshimasa Tsuruoka [ctb], Loren Collingwood [ctb], Amber E. Boydstun [ctb], Emiliano Grossman [ctb], Wouter van Atteveldt [ctb]
Showcasing needmining (the semi-automatic extraction of customer needs from
social media data) with Twitter data. It uses the handling of the Twitter API provided by
the package 'rtweet' and the textmining algorithms provided by the package 'tm'.
Niklas Kuehl (2016) <doi:10.1007/978-3-319-32689-4_14> wrote an introduction to the topic of needmining.
methods, utils, rtweet, randomForest, stringr, SnowballC,
SparseM, tau, tm

person("Josh", "Katz", email = "josh.katz@nytimes.com", role = c("aut", "cre"))
A simple function for easier package loading and auto-installation.

needy is a small utility library designed to make testing
function inputs less difficult. R is a dynamically typed
language, but larger projects need input checking for
scalabity. needy offers a single function, require_a( ), which
lets you specify the traits an input object should have, such
as class, size, numerical properties or number of parameters,
while reducing boilerplate code and aiding debugging.

needy is a small utility library designed to make testing function
inputs less difficult. R is a dynamically typed language, but larger
projects need input checking for scalabity. needy offers a single
function, require_a( ), which lets you specify the traits an input object
should have, such as class, size, numerical properties or number of
parameters, while reducing boilerplate code and aiding debugging.

Estimating the number of essential genes in a genome
Estimating the number of essential genes in a genome on the basis of data from a random transposon mutagenesis experiment, through the use of a Gibbs sampler.