mi.Rmd

---
title: "``brms::mi``"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(brms)
```
## ``mi`` : Description 
Predictors with Missing values in brms Models

#### Usage
<pre><code>
  mi(x)
</code></pre>
  
#### Arguments

* ``x``: The variable containing missings.


### Examples
```{r}
data("nhanes", package = "mice")
bform <- bf(bmi | mi() ~ age * mi(chl)) +
  bf(chl | mi() ~ age) + set_rescor(FALSE)
```
```{r}
fit <- brm(bform, data = nhanes)
summary(fit)
```

```{r}
plot(marginal_effects(fit, resp = "bmi"), ask = FALSE)
LOO(fit, newdata = na.omit(fit$data))
```
#### Details
For detailed documentation see help(brmsformula).
This function is almost solely useful when called in formulas passed to the brms package.