Does this rdists package provide actual (predicted) response time for each observation? With the help of other packages, I've estimated Drift Diffusion model parameters of my data. Now, I want to estimate the predicted (or actual) response times for each observation with the help of estimated parameters. By going through the manual I got a sense that ddiffusion function estimates (predicts) the actual response times, basically I used this code for my own purposes:

dd1&lt;-ddiffusion(data$rt , data$resp,a=2.16,v=1.12,t0=0.36,z=0.51).


Does this function gives me actual (predicted) response time for each observation?
Not very familiar with this package, but per manual (bold and italics added):


  ddiffusion gives the density, pdiffusion gives the distribution function, qdiffusion gives the quantile function (i.e., predicted RTs), and rdiffusion generates random response times and decisions (returning a data.frame with columns rt (numeric) and response (factor)).


So, it looks like if you want predicted reaction times, you should use the qdiffusion function (but note that it is a quantile function).