Created
March 24, 2018 06:40
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boilerplate to create brms model
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| model_name <- brm( | |
| DV ~ formula, | |
| data = d, | |
| family = normal(), # student(), #cumulative(), #bernoulli(), etc | |
| control = list(adapt_delta = .80), | |
| cores = parallel::detectCores(), | |
| iter = 2000) |
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