estimate_by_post_mean.Rdestimate_by_post_mean is function to estimate alpha and logBF
estimate_by_post_mean(data, model, opts, alpha)
| data | data from fit_asl or fit_asl_parallel |
|---|---|
| model | 1 = latent cause model, 2 = latent cause modulated RW model |
| opts | (optional) structure defining ASL options |
| alpha | vector of alpha |
df data frame containing post_mean_alpha(posterior mean alpha), logBF(log Bayes factor for the alpha>=0 model relative to the alpha=0 model), loglikelihood and probability each alpha.