Title: Using Cloudera 'Impala' Through 'R'
Description: Cloudera 'Impala', which is a massively parallel processing (MPP) SQL query engine runs natively in Apache Hadoop. 'RImpala' facilitates the connection and execution of distributed queries through 'R'. 'Impala' supports JDBC integration which 'RImpala' utilizes to establish the connection between 'R' and 'Impala'. Thanks to Mu Sigma for their continued support throughout the development of the package.

Title: R Individual Specialization (RInSp) package
Author: Dr. Nicola ZACCARELLI, Dr. Giorgio MANCINELLI, and Prof. Dan BOLNICK
Maintainer: Dr. Nicola ZACCARELLI <nicola.zaccarelli@gmail.com>
Description: The package implements several ecological niche metrics to measure individual specialization. Monte Carlo resampling tools are available for hypothesis testing against multinomial models.

Package: RInSp
Title: R Individual Specialization (RInSp)
Version: 1.1
Date: 2015-02-03
Author: Dr. Nicola Zaccarelli, Dr. Giorgio Mancinelli, and Prof. Dan Bolnick
Maintainer: Dr. Nicola Zaccarelli <nicola.zaccarelli@gmail.com>
Description: Functions to calculate several ecological indices of individual and population niche width
(Araujo's E, clustering and pairwise similarity among individuals, IS, Petraitis' W, and Roughgarden's
WIC/TNW) to assess individual specialization based on data of resource use. Resource use can be
quantified by counts of categories, measures of mass/lenght or proportions. Monte Carlo resampling
procedures are available for hypothesis testing against multinomial null models.
License: GPL (>= 2)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2015-02-04 12:42:23 UTC; Nicola
Date/Publication: 2015-02-04 15:51:26

Authors@R: c(person("Dr. Nicola", "Zaccarelli", role = c("aut", "cre"),
person("Giorgio", "Mancinelli", role = "aut",
Author: Dr. Nicola Zaccarelli [aut, cre],
Description: Functions to calculate several ecological indices of individual
and population niche width (Araujo's E, clustering and pairwise similarity
among individuals, IS, Petraitis' W, and Roughgarden's WIC/TNW) to assess
individual specialization based on data of resource use. Resource use can
be quantified by counts of categories, measures of mass or length, or
proportions. Monte Carlo resampling procedures are available for hypothesis
testing against multinomial null models.