response time model

Diffusion/Wiener Model Analysis with brms – Part II: Model Diagnostics and Model Fit

This is the considerably belated second part of my blog series on fitting diffusion models (or better, the 4-parameter Wiener model) with brms. The first part discusses how to set up the data and model. This second part is concerned with perhaps the most important steps in each model based data analysis, model diagnostics and […]

Diffusion/Wiener Model Analysis with brms – Part I: Introduction and Estimation

Stan is probably the most interesting development in computational statistics in the last few years, at least for me. The version of Hamiltonian Monte-Carlo (HMC) implemented in Stan (NUTS, ) is extremely efficient and the range of probability distributions implemented in the Stan language allows to fit an extremely wide range of models. Stan has […]

rtdists 0.7-2: response time distributions now with Rcpp and faster

It took us quite a while but we have finally released a new version of rtdists to CRAN which provides a few significant improvements. As a reminder, rtdists [p]rovides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model based on C code by Andreas and Jochen Voss and (b) […]

New Version of rtdists on CRAN (v. 0.4-9): Accumulator Models for Response Time Distributions

I have just submitted a new version of rtdists to CRAN (v. 0.4-9). As I haven’t mentioned rtdists on here yet, let me simply copy it’s description as a short introduction, a longer introduction follows below: Provides response time distributions (density/PDF, distribution function/CDF, quantile function, and random generation): (a) Ratcliff diffusion model based on C […]