R: Predictors with Missing Values in 'brms' Models

mi {brms} | R Documentation

## Predictors with Missing Values in brms Models

### Description

Predictors with Missing Values in brms Models

### Usage

    mi(x)

### Arguments

`x` | The variable containing missings.

### Details

For detailed documentation see `help(brmsformula)`.

This function is almost solely useful when called in formulas passed to the brms package.

### 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))

    ## End(Not run)

[Package brms version 2.6.0 Index]