R (>= 1.4.0), graphics, stats, utils, png
"Markus Loecher, Sense Networks" <markus.loecher@gmail.com>
This package serves two purposes: (i) Provide a
comfortable R interface to query the Google server for static
maps, and (ii) Use the map as a background image to overlay
plots within R. This requires proper coordinate scaling. NOTE:
To do anything but downloading static map tiles, RgoogleMaps
needs EITHER png OR ReadImages OR rimage installed ! png
(default) is your package if you prefer png file format and
ReadImages or rimage if you prefer jpg format. In the latter
cases, you will also need the libjpeg library installed.

"Markus Loecher, Sense Networks" <markus@sensenetworks.com>

R (>= 2.10), graphics, stats, utils, png

R (>= 2.10), graphics, stats, utils, png, RJSONIO
PBSmapping, maptools, RColorBrewer, sp, rgdal

PBSmapping, maptools, RColorBrewer, sp, rgdal, loa

PBSmapping, maptools, sp, rgdal, loa, RColorBrewer

graphics, stats, utils, grDevices, methods, png
PBSmapping, maptools, sp, loa, RColorBrewer, leaflet
Serves two purposes: (i) Provide a
comfortable R interface to query the Google server for static
maps, and (ii) Use the map as a background image to overlay
plots within R. This requires proper coordinate scaling.

PBSmapping, maptools, sp, loa, RColorBrewer, leaflet,jpeg,
RCurl

graphics, stats, utils, grDevices, methods, png,sp
PBSmapping, maptools, loa, RColorBrewer, leaflet,jpeg, RCurl

Provides plotting capabilities for R graph objects
Interfaces R with the AT&T GraphViz library to provide
the ability for plotting R graph objects from the graph
package
Jeff Gentry <jgentry@jimmy.harvard.edu>, Li Long <li.long@isb-sib.ch>,
Robert Gentleman <rgentlem@fhcrc.org>, Seth Falcon <sethf@fhcrc.org>

Jeff Gentry <jgentry@jimmy.harvard.edu>, Li Long <li.long@isb-sib.ch>,
Robert Gentleman <rgentlem@fhcrc.org>, Seth Falcon <sethf@fhcrc.org>,
Florian Hahne <fhahne@fhcrc.org>, Deepayan Sarkar <dsarkar@fhcrc.org>
R (>= 2.6.0), methods, utils, graph, grid

An interface to 'GNU gretl': running 'gretl' scripts from, estimating econometric
models with backward passing of model results, opening 'gretl' data files (.gdt).
'gretl' can be downloaded from <http://gretl.sourceforge.net>. This package could make
life on introductory/intermediate econometrics courses much easier:   full battery of the
required regression diagnostics,   including White's heteroskedasticity test, restricted ols
estimation,   advanced weak instrument test after iv estimation, very convenient dealing
with lagged variables in models,   standard case treatment in unit root tests,   vector auto-
regressions, and vector error correction  models.   Datasets for   8 popular econometrics
textbooks can be installed into 'gretl' from its server. All datasets can be easily imported
using this package.