posterior_summary_inla: Write a summary of posterior distribution using marginals
In FrankLef/eflINLA: Utilities used with INLA by FL

Description Usage Arguments Details Value Examples

Write a summary of posterior distribution using marginals.

1	posterior_summary_inla(.result, ren = TRUE)

`.result`	`inla` object.
`ren`	Rename the variable with `rename_brms`.

Write a summary of posterior distributions with a format similar to brms::posterior_summary.

Dataframe with summaries.

df <- data.frame(
 x1 = rnorm(50, mean = 1, sd = 0.5),
 x2 = rnorm(50, mean = 2, sd = 1),
 sigma = rexp(50, rate = 1))
df$mu <- df$x1 + df$x2
df$y <- rnorm(nrow(df), mean = df$mu, sd = df$sigma)
the_fit <- INLA::inla(formula = y ~ x1 + x2, data = df)
posterior_summary_inla(the_fit)