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

print.mcmc works as expected

Code
  print(mcmc_obj)
Output
  Sampler: DE-MCMC 
  Hierarchical: FALSE 
  No. Parameters: 3 
  No. Chains: 20 
  Iterations Per Chain: 200

summary.mcmc_dm works as expected (full object)

Code
  print(summary_obj)
Output
  Sampler: DE-MCMC 
  Hierarchical: FALSE 
  No. Parameters: 3 
  No. Chains: 20 
  Iterations Per Chain: 200

  -------
  Parameter Summary: Basic Statistics
           Mean    SD Naive SE Time-series SE
  muc     3.082 0.187    0.003          0.010
  b       0.411 0.013    0.000          0.001
  non_dec 0.300 0.003    0.000          0.000

  Gelman-Rubin Statistics
      muc       b non_dec 
    1.039   1.046   1.048

  Effective Sample Size
      muc       b non_dec 
  363.421 353.772 428.942