Utility functions for dealing with data in Opasnet
(www.opasnet.org) environment.
Teemu Rintala, Einari Happonen, Jouni Tuomisto
This package is primarily developed for executing open assessments and modeling in Opasnet environment. See http://www.opasnet.org for more.
methods, rjson, RCurl, reshape2, triangle, httpRequest,
digest, xtable

This package is primarily developed for executing open assessments and modeling in Opasnet environment (http://www.opasnet.org).
The operating principle of this package is maximum openness and modularity. Variables are defined publicly on wiki pages using wiki inputs/tables,
our database and R code. Using any predefined variable is very easy: fetch the variable from our servers (or your own) and evaluate it. Actual
evaluation of variables is done lazily by default: when the evaluation of a variable is explicitly called, all variables it is dependent
on are evaluated recursively. There are also a couple of impact assessment tools such as GIS functions in the package.
To learn more go to \url{http://en.opasnet.org/w/Modelling_in_Opasnet}.
methods, rjson, RCurl, reshape2, triangle, httpRequest,
digest, xtable, ggplot2, rgdal, sp

Opasnet Modelling Environment Utility Functions
Contains tools for open assessment and modelling in Opasnet,
a wiki-based web site and workspace for societal decision making
(see <http://en.opasnet.org/w/Main_Page> for more information).
The core principle of the workspace is maximal openness and modularity.
Variables are defined on public wiki pages using wiki inputs/tables,
databases and R code. This package provides the functionality to download and use these
variables. It also contains health impact assessment tools such as
spatial methods for exposure modelling.
methods, rjson, RCurl, reshape2, triangle, httpRequest,
digest, xtable, ggplot2, rgdal, sp, plyr
http://en.opasnet.org/w/Main_Page ,
http://en.opasnet.org/w/Modelling_in_Opasnet ,
http://en.opasnet.org/w/OpasnetUtils

utils, methods, rjson, RCurl, reshape2, triangle, httpRequest,
digest, xtable, ggplot2, rgdal, sp, plyr, igraph