brms (version 2.9.0)

mi: Predictors with Missing Values in brms Models

Description

Specify predictor term with missing values in brms. The function does not evaluate its arguments -- it exists purely to help set up a model.

Usage

mi(x)

Arguments

x

The variable containing missings.

Details

For detailed documentation see help(brmsformula).

See Also

brmsformula

Examples

# NOT RUN {
data("nhanes", package = "mice")
bform <- bf(bmi | mi() ~ age * mi(chl)) +
  bf(chl | mi() ~ age) + set_rescor(FALSE)
fit <- brm(bform, data = nhanes)
summary(fit)
plot(marginal_effects(fit, resp = "bmi"), ask = FALSE)
LOO(fit, newdata = na.omit(fit$data))
# }
# NOT RUN {
# }