Package: lctools
Version: 0.2-4
Date: 2015-12-19
Type: Package
Title: Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools
Author: Stamatis Kalogirou [aut, cre]
Maintainer: Stamatis Kalogirou <skalo@hua.gr>
Depends: R (>= 3.2.1), reshape (>= 0.8.5), weights (>= 0.80), pscl (>=
1.4.9), MASS (>= 7.3-43)
Description: The main purpose of lctools is to provide researchers and educators with easy-to-learn
user friendly tools for calculating key spatial statistics and to apply simple as well as
advanced methods of spatial analysis in real data. These include: Local Pearson and
Geographically Weighted Pearson Correlation Coefficients, Spatial Inequality Measures
(Gini, Spatial Gini, LQ, Focal LQ), Spatial Autocorrelation (Global and Local Moran's I),
several Geographically Weighted Regression techniques and other Spatial Analysis tools
(other geographically weighted statistics). This package also contains functions for
measuring the significance of each statistic calculated, mainly based on Monte Carlo simulations.
License: GPL (>= 2)
VignetteBuilder: knitr
URL: http://gisc.gr
Suggests: knitr, sp
NeedsCompilation: no
Packaged: 2015-12-20 01:59:01 UTC; Stamatis
Repository: CRAN
Date/Publication: 2015-12-20 09:28:10
Package: anesrake
Version: 0.75
Date: 2016-06-14
Title: ANES Raking Implementation
Author: Josh Pasek [aut, cre]
Maintainer: Josh Pasek <josh@joshpasek.com>
Depends: Hmisc, weights
Description: Provides a comprehensive system for selecting
variables and weighting data to match the specifications of the American
National Election Studies. The package includes methods for identifying
discrepant variables, raking data, and assessing the effects of the raking
algorithm. It also allows automated re-raking if target variables fall
outside identified bounds and allows greater user specification than other
available raking algorithms. A variety of simple weighted statistics that
were previously in this package (version .55 and earlier) have been moved to
the package 'weights.'
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-06-14 18:47:44 UTC; jpasek
Repository: CRAN
Date/Publication: 2016-06-15 00:31:40
providing 
.