fast-dm

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Diffusion Model Analysis with fast-dm-30

This web page is the home of fast-dm, a program for fast parameter estimation of Ratcliff's (1978) diffusion model. The program was written by Jochen Voss and Andreas Voss.

Fast-dm is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License. See the file COPYING in the source code archives for details.

We provide the source code, precompiled binaries (for Windows only), and a MS Visual Studio project. If you just want to apply fast-dm and you are using MS Windows, you will only need the binaries.

Downloads

Releases are available from PSI's Gitlab:

Source code is available for Linux (make) and Windows (Visual Studio 2013).

Installation Notes

Installation on Unix-like systems:

  • Download and unzip the source
  • Open a terminal and cd into the directory
  • Type ./configure
  • Type make

Releases

Fast-dm-30.2

Fast-dm-30.2 implements an guessing parameter p (see Ratcliff & Tuerlincks, 2004). p estimates the amout of guessings in your data with the assumtion of an equal RT distribution of guesses between the fastes and the slowest response. For most applications, you want to set p to 0, especially when using small trial numbers.

Additionally, fast-dm-30.2 comprises some minor corrections of code.

Note: The file win32erf.c, needs to be included only if an elder version of Visual Studio is used for compilation.

Fast-dm-30.2 with MS GUI

Stefan Radev and Veronika Lerche developed a Python-based graphical user interface for fast-dm. The GUI has the same functionality as the command-line version of fast-dm. In addition, the GUI allows the creation of plots that are useful to check the model fit. Note that the plots feature is still under development. Dependencies are not yet included and further plot options will be added in the near future. Further information on this project (including installation instructions) can be found on GitHub.

Fast-dm-30

Fast-dm is free open-source software for the estimation of diffusion model parameters. It is a command-line tool that reads commands from a text file (by default named experiment.ctl). Below, we present an overview of possible commands for the control file. A more thorough description is provided by Voss & Voss (2007).