fddm

Provides the probability density function (PDF), cumulative distribution function (CDF), the first-order and second-order partial derivatives of the PDF, and a fitting function for the diffusion decision model (DDM; e.g., Ratcliff & McKoon, 2008, doi:10.1162/neco.2008.12-06-420) with across-trial variability in the drift rate. Because the PDF, its partial derivatives, and the CDF of the DDM both contain an infinite sum, they need to be approximated. 'fddm' implements all published approximations (Navarro & Fuss, 2009, doi:10.1016/j.jmp.2009.02.003; Gondan, Blurton, & Kesselmeier, 2014, doi:10.1016/j.jmp.2014.05.002; Blurton, Kesselmeier, & Gondan, 2017, doi:10.1016/j.jmp.2016.11.003; Hartmann & Klauer, 2021, doi:10.1016/j.jmp.2021.102550) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages.

Last 30 days

This package has been downloaded 254 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,744 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 04, 2024 with 48 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.