Error: Argument 'prior' must be a 'brmsprior' object.

[David Sidhu]

I've defined the following prior:

prior<-c(set_prior("normal(0,35)",class = "b", coef = "Congruent1"), lb = -100, ub = 100)

But when trying to run this model with it:

m1<-brm(CorrectedRt~Congruent+(1|Subject)+(1|Word), data = scta, family="gaussian", prior = prior, warmup = 2000, iter = 4000, chains = 20, save_all_pars = TRUE)

I get the following error: 

Error: Argument 'prior' must be a 'brmsprior' object.

Any advice on what to try to avoid this?

[David Sidhu]

As a follow-up, I'm also curious if there is a list of the different distributions that are possible to fit as priors in brms?

[Paul Buerkner]

Check your brackets. You can use all continuous distributions given in the Stan manual.

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