
Generate a grid of response-time values and the corresponding PDF values.
For more details on the model see, for example, dETM
.
dETM_grid(rt_max = 10, phi, x_res = "default", t_res = "default")
list of RTs and corresponding defective PDFs at lower and upper threshold
maximal response time <- max(rt)
parameter vector in the following order:
Non-decision time (
Relative start (
Stimulus strength (
Noise scale (
Initial decision threshold location (
Log10-rate of threshold change (
Contamination (
Lower bound of contamination distribution (
Upper bound of contamination distribution (
spatial/evidence resolution
time resolution
Raphael Hartmann & Matthew Murrow
Murrow, M., & Holmes, W. R. (2023). PyBEAM: A Bayesian approach to parameter inference for a wide class of binary evidence accumulation models. Behavior Research Methods, 56(3), 2636-2656.