The classic way to do this is via multiple imputation. Fit the model many times with different joint posterior iterations of the values that you desire to fix. Ensure that convergence diagnostics are ok in each of the multiple fits, then combine the chains across fits for posterior inference.
See discussion here Models with parameters with known posterior