Title: A General Iterative Clustering Algorithm
Description: An iterative algorithm that improves the proximity matrix (PM) from a random forest (RF) and the resulting clusters as measured by the silhouette score.

Title: GIFT Questions Format Generator from Dataframes
Maintainer: Omar I. Elashkar <omar.ibrahim@miuegypt.edu.eg>
Description: A framework and functions to create 'MOODLE' quizzes. 'GIFTr' takes dataframe of questions of
four types: multiple choices, numerical, true or false and short answer questions, and exports a text
file formatted in 'MOODLE' GIFT format. You can prepare a spreadsheet in any software and import
it into R to generate any number of questions with 'HTML', 'markdown' and 'LaTeX' support.

Title: Random variate generator for the GIG distribution
Author: Josef Leydold and Wolfgang Hormann
Description: Random variate generator for the GIG distribution

Title: Random Variate Generator for the GIG Distribution
Generalized Inverse Gaussian (GIG) distribution.

Title: Some further GIS capabilities for R
Description: Some mapping and spatial data manipulation tools - in
particular drawing choropleth maps with nice looking legends,
and aggregation of point data to polygons.
Depends: R (>= 2.15.0), maptools, RColorBrewer, MASS, rgeos

Description: Some mapping and spatial data manipulation tools - in particular
drawing choropleth maps with nice looking legends,  and aggregation of point
Packaged: 2014-01-25 11:05:53 UTC; chrisbrunsdon

Depends: R (>= 2.15.0), maptools, sp, RColorBrewer, MASS, rgeos
Packaged: 2014-08-15 16:20:09 UTC; chrisbrunsdon

Description: A workflow for correction of Differential Interferometric Synthetic Aperture Radar (DInSAR) atmospheric delay base on Generic Atmospheric Correction Online Service for InSAR (GACOS) data and correction algorithms proposed by Chen Yu. You can find atmospheric delay data here: <http://ceg-research.ncl.ac.uk/v2/gacos>.This package calculate the Both Zenith and LOS direction (User Depend). You have to just download GACOS product on your area and preprocessed D-InSAR unwrapped images. Cite those references and this package in your work, when using this framework.