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fddm  

Fast Implementation of the Diffusion Decision Model
View on CRAN: Click here


Download and install fddm package within the R console
Install from CRAN:
install.packages("fddm")

Install from Github:
library("remotes")
install_github("cran/fddm")

Install by package version:
library("remotes")
install_version("fddm", "1.0-2")



Attach the package and use:
library("fddm")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
First Published: 2020-07-10
Latest Update: 2022-09-09
Description:
Provides the probability density function (PDF), cumulative distribution function (CDF), and the partial derivatives of the PDF of the diffusion decision model (DDM; e.g., Ratcliff & McKoon, 2008, ) 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, ; Gondan, Blurton, & Kesselmeier, 2014, ; Blurton, Kesselmeier, & Gondan, 2017, ; Hartmann & Klauer, 2021, ) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages.
How to cite:
Henrik Singmann (2020). fddm: Fast Implementation of the Diffusion Decision Model. R package version 1.0-2, https://cran.r-project.org/web/packages/fddm. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1-1 (2020-07-10 10:40), 0.2-1 (2020-10-14 01:50), 0.2-2 (2020-11-04 21:00), 0.3-1 (2021-03-22 21:30), 0.3-3 (2021-04-06 09:10), 0.4-0 (2021-08-06 09:10), 0.4-1 (2021-12-13 10:10), 0.5-1 (2022-03-15 15:50), 0.5-2 (2022-09-09 21:02), 1.0-1 (2024-06-26 12:00)
Other packages that cited fddm R package
View fddm citation profile
Other R packages that fddm depends, imports, suggests or enhances
Complete documentation for fddm
Functions, R codes and Examples using the fddm R package
Some associated functions: dfddm . med_dec . pfddm . 
Some associated R codes: RcppExports.R . med_dec-data.R . zzz.R .  Full fddm package functions and examples
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