Predictors with Missing Values in brms Models
Specify predictor term with missing values in brms. The function does not evaluate its arguments – it exists purely to help set up a model.
mi(x)
x |
The variable containing missings. |
For detailed documentation see help(brmsformula).
## 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(conditional_effects(fit, resp = "bmi"), ask = FALSE)
LOO(fit, newdata = na.omit(fit$data))
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