close Warning: Can't synchronize with repository "(default)" (/var/svn/tolp does not appear to be a Subversion repository.). Look in the Trac log for more information.

Preferably see the following new and updated pages:

Tol Downloads

Date releasedReleaseName Description Download Other binaries
unreleased Development Tol.3.2 Win32 Installer History
2012-02-16OFFICIALLY RECOMENDED Tol.3.1What is new Win32 Installer History Also called 2.0.2
2011-05-03 Old stableTol.2.0.1What is new Win32 Installer History
2009-10-23 Unmantained Tol.1.1.7.bridge What was new Win32 Installer
2009-02-25 Unmantained Tol.1.1.7 What was new Win32 Installer History
2007-11-13 UnmantainedTol.1.1.6What was newWin32 Installer History
2007-02-22 UnmantainedTol.1.1.5What was newWin32 Installer History
2006-11-11 UnmantainedTol.1.1.4What was newWin32 Installer
2005-02-16 UnmantainedTol.1.1.3What was newWin32 Installer
2003-03-05 UnmantainedTol.1.1.2What was newWin32 Installer
2001-04-07 UnmantainedTol.1.1.1What was newWin32 Installer

Extras

Developer version of Tol.3.2 compiled with GNU-GCC compiler for Windows: tol-gnu-v3.2-win32.exe.

This version is required for the new TOL & R communication. See Rprojects and TolRInside.

External downloads required

In order to use some TOL functions and subsystems it's also needed to install another open source packages or libraries, that are listed in TolAcknowledgements. Linux systems have should have their own package manager (RPM, DEB, etc) for almost all these components. In other case user must install them following owner instructions. For Windows 32 bits systems all them are prebuilt in a transparent way for ussers and are distributed with TOL Binary Setup linked above.

All them but R, are linked by TOL and calling is made internally by C or C++ interface. TOL calls R (>=2.6.0) by command line, so it must be installed in your system directly from the official R site. Note that R console executable must be in user path environment variable. Afterwords installing R user must install these R packages:

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

All them are available as CRAN standard package and can be installed from R-Gui application using menu Package / Install package. You also can run this commands from an R console:

  install.packages("quadprog")
  install.packages("coda")
  install.packages("Rglpk")
  install.packages("slam")
  install.packages("mcgibbsit")

In Debian based LINUX the simplest way is following these steps

  sudo apt-get install r-base
  sudo apt-get install r-cran-quadprog
  sudo apt-get install r-cran-coda
  sudo apt-get install r-cran-rglpk
  sudo apt-get install r-cran-slam
  sudo apt-get install r-cran-mcgibbsit
Last modified 8 years ago Last modified on Sep 16, 2016, 8:27:31 AM