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= Installation =

Firstly, you should download the installer and run it. See [wiki:Download].

Then, if you want to take advantage of the [wiki:TolR TOL+R] communication, follow the [wiki:TolR#Installation TOL+R installation instructions].

Otherwise, if you only want to safely use some estimation functionalities (as BSR) follow the [wiki:Installation#Additionalinstallationinstructions additional installation instructions].

Note, that TOL+R instructions does already include the additional installation instructions described below.

== Additional installation instructions ==

Some TOL packages (for example, BysInfDiag) uses R calls (by command line) to obtain some statistic information. For avoid errors when you use these packages we recommend:

=== Install R ===

Install the statistical software R. See [https://www.r-project.org].

==== Add bin folder to the PATH (for Windows users) ====

For allow TOL to find R, you should ensure that the R 'bin' folder is in the environment variable PATH.

 * R 'bin folder: [[BR]] {{{%PROGRAMFILES%\R\R-3.2.2\bin}}} [[BR]] (version number may be different)

You can edit the environment variable PATH as usual.

=== Install some R-packages ===

Some of the mentioned TOL packages requires from some R-packages: 

 1. [http://cran.r-project.org/web/packages/quadprog/index.html quadprog] : Functions to solve Quadratic Programming Problems.
 1. [http://www-fis.iarc.fr/coda/ coda] : Output analysis and diagnostics for MCMC.
 1. [http://cran.r-project.org/web/packages/mcgibbsit/index.html mcgibbsit] : provides an implementation of Warnes & Raftery's MCGibbsit run-length diagnostic for a set of (not-necessarily independent) MCMC samplers
 1. [http://cran.r-project.org/web/packages/slam/index.html slam] : Sparse Lightweight Arrays and Matrices.
 1. [http://cran.r-project.org/web/packages/Rglpk/Rglpk.pdf Rglpk] : solving large-scale linear programming (LP), mixed integer linear programming (MILP) and other related problems.

All them are available as CRAN standard package and can be installed from R-GUI application using the option "Install package" from menu "Package".

Otherwise, you also can run the following sentences in an R console:
{{{
#!ruby
install.packages("quadprog")
install.packages("coda") # imports: lattice
install.packages("mcgibbsit") # depends: coda
install.packages("slam")
install.packages("Rglpk") # depends: slam
}}}