Extending prfpy (https://github.com/VU-Cog-Sci/prfpy/tree/main/prfpy) for bayesian (MCMC analysis)
NOTE IN DEVELOPMENT -> much may change!!!
Need to have installed
dag_prf_utils
https://github.com/mdaghlian/dag_prf_utils
Run the setup script and get all the associated packages
Also a bit of an apology... There is some inconsistency in naming between prfpy and dag_prf_utils. I promise there is a good reason for this. I want prfpy to be backwards compatible. But, some names interfere with each other, when you start including other models (e.g., size, compared to size_1, and size_2 in the DN model). Here is the mapping for the gaussian model:
prfpy dag_prf_utils
mu_x x
mu_y y
size size_1
beta amp_1
baseline bold_baseline
hrf_1 hrf_deriv
hrf_2 hrf_disp
Most of the time you shouldn't have to think about it...
written by Marcus Daghlian