brm_probs | R Documentation |
Generate Probabilities from logit link model
brm_probs(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 3 columns: Name, Prob, 95
x = runif(100,0,10)
y = sample(c(0,1), size = 100, replace = T)
z = runif(100,0,10)
g = rep(1:4,each = 25)
df = tibble(x = x,y = y, z = z, g = g)
brmfit = brm(y ~ x + z, data = df, family = bernoulli(link = "logit"))
brm_pval(brmfit)
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