Publication: Separating Response-Execution Bias from Decision Bias: Arguments for an Additional Parameter in Ratcliff's Diffusion Model. Two simulation studies in support of including a new parameter in Ratcliff's diffusion model. … read more
Publication: A Fast Numerical Algorithm for the Estimation of Diffusion-Model Parameters. A new algorithmic approach for parameter estimation in Ratcliff's diffusion model. … read more
Publication: Fast-Dm: a Free Programm for Efficient Diffusion Model Analysis. Fast-DM, a flexible and fast computer program, allows estimating all parameters of Ratcliff's diffusion model. … read more
By Jochen Voss, last updated 2011-08-31
This page contains some information about the program fast-dm. Please note that this is not the official homepage.
Fast-dm is a programm for fast parameter estimation in Ratcliff's (1978) diffusion model. With a Diffusion model data analysis it is possible to analyse data from any fast binary decision task. A diffusion-model data analysis is based on the distributions of both correct and erroneous responses. From these distributions a set of parameters is estimated that allows to draw conclusions about the underlying cognitive processes (Voss, Rothermund, & Voss, 2004).
The implemented algorithm and a bit of background is described in the first of the following two articles, the program itself is described in the second one.
Below is the fast-dm source for download. We offer .tar.gz and .zip archives, the contents of both are identical. Installation instructions are in the file README.
This release fixes some memory leaks found by Valgrind.
This fixes a problem where for fixed value of z large values of sz where not correctly recognised.
This fixes a bug introduced in fast-dm release 27. As a nice side-effect the program is now faster for some parameter settings.
Copyright © 2011, Jochen Voss. All content on this website (including text, pictures, and any other original works), unless otherwise noted, is licensed under a Creative Commons Attribution-Share Alike 3.0 License.