This page contains supplementary material for "The RWiener package: an R package providing distribution functions for the Wiener diffusion model" by Dominik Wabersich and Joachim Vandekerckhove ().

This site contains resources that may not be archival or reviewed. The files made available here may not be what they seem at first sight. Please do not cite without consulting the authors.


— SourceForge repository


We present the RWiener package that provides R functions for the Wiener diffusion model. The core of the package are the four distribution functions dwiener, pwiener, qwiener and rwiener, which use up-to-date methods, implemented in C, and provide fast and accurate computation of the density, distribution, and quantile function, as well as a random number generator for the Wiener diffusion model. We used the typical Wiener diffusion model with four parameters: boundary separation, non-decision time, initial bias and drift rate parameter. Beyond the distribution functions, we provide extended likelihood-based functions that can be used for parameter estimation and model selection. The package can be obtained via CRAN.

disclaimer By clicking on any of these links (including, but not limited to, the downloading of any PDF file from any server), you agree to forfeit and cede on your own behalf and on behalf of any past, current, or future employer, any exclusive claim to intellectual property or copyright relating to any of the materials so obtained.