brm_tab | R Documentation |
Generate Coefficient Significance tables from brm model
brm_tab(fit, digits = 2, predlabs, ...)
fit |
model fit by brm function |
digits |
number of digits to round |
predlabs |
optional vetor of labels for each predictor |
Tibble with 4 columns: Name, Prob, 95
require(brms)
x = 1:100
y = x^2 + rnorm(length(x))
z = runif(length(x),0,length(x))
g = rep(1:4,each = 25)
df = tibble(x = x,y = y,z = z, g = g)
brmfit = brm(y ~ x^2 + z + (1|g), data = df)
brm_tab(brmfit)
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