person("Chris", "Hartgerink", , "chris@libscie.org", c("aut", "cre"))
Interface with the 'Dat' p2p network protocol <https://datproject.org>. Clone archives from the network, share your own files, and install packages from the network.

person("Arnaldo", "Vitaliano", email = "vitaliano@gmail.com",
role = c("aut", "cre"))
Profiles datasets (collecting statistics and informative summaries
about that data) on data frames and 'ODBC' tables: maximum, minimum, mean, standard deviation, nulls,
distinct values, data patterns, data/format frequencies.

Compact Standard for Australian Phone Numbers
person(given = "Hugh",
family = "Parsonage",
role = c("aut", "cre"),
email = "hugh.parsonage@gmail.com")
Phone numbers are often represented as strings because there
is no obvious and suitable native representation for them.  This leads
to high memory use and a lack of standard representation.  The package
provides integer representation of Australian phone numbers with optional
raw vector calling code. The package name is an extension of 'au' and 'ph'.

Functions for "Data Analysis in Vegetation Ecology"
A collection of functions accompanying the book "Data
Analysis in Vegetation Ecology", 2013, Wiley-Blackwell
R (>= 2.10), stats, graphics, labdsv, vegan, cluster, nnet,
tree, rpart, MASS

A collection of functions accompanying the book "Data
Analysis in Vegetation Ecology", Second edition. 2013,
Wiley-Blackwell, Chichester

A collection of functions accompanying the book "Data Analysis in Vegetation Ecology", Second edition. 2013, Wiley-Blackwell, Chichester

A collection of functions accompanying the book "Data Analysis in Vegetation Ecology". 3rd ed. CABI, Oxfordshire, Boston.
R (>= 3.1.0), cluster, labdsv, vegan, nnet, graphics, stats,
grDevices, tree

Discriminant analysis with additional information
David Conde, Miguel A. Fernandez, Bonifacio Salvador
This package performs linear and quadratic discriminant analysis with additional information expressed as inequality restrictions among the populations means and computes several estimations of the true error rate