formatting_fits_ids_dm.md
In dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

print.fits_ids_dm (old) works as expected

Code
  print(drift_dm_fits)
Output
  Fit procedure name: test_case_saved
  Fitted model type: ratcliff_dm, drift_dm
  Time of (last) call: 2025-Februar-24_09-47
  N Individuals: 2

print.fits_ids_dm (new) works as expected

Code
  print(drift_dm_fits)
Output
  Fit approach: separately - classical
  Fitted model type: dmc_dm, drift_dm
  Optimizer: nmkb 
  Convergence: TRUE 
  N Individuals: 3 
  Average Trial Numbers:
   168 trials comp; 168 trials incomp
  Cost Function: neg_log_like

summary.fits_ids_dm (old) and print

Code
  print(sum_obj)
Output
  Fit Procedure Name: test_case_saved
  N Individuals: 2

  Parameter Summary: null 
            muc     b non_dec
  mean    3.220 0.598   0.311
  std_err 0.131 0.008   0.002


  Parameter Space:
        muc   b non_dec
  lower   1 0.3     0.1
  upper   5 0.8     0.5

  -------
  Fitted Model Type: ratcliff_dm, drift_dm
  Time of (Last) Call: 2025-Februar-24_09-47