mmc {brms} | R Documentation |

## Multi-Membership Covariates

### Description

Specify covariates that vary over different levels
of multi-membership grouping factors thus requiring
special treatment. This function is almost solely useful,
when called in combination with `mm`

.
Outside of multi-membership terms it will behave
very much like `cbind`

.

### Usage

```
mmc(...)
```

### Arguments

`...` |
One or more terms containing covariates
corresponding to the grouping levels specified in |

### Value

A matrix with covariates as columns.

### See Also

### Examples

```
## Not run:
# simulate some data
dat <- data.frame(
y = rnorm(100), x1 = rnorm(100), x2 = rnorm(100),
g1 = sample(1:10, 100, TRUE), g2 = sample(1:10, 100, TRUE)
)
# multi-membership model with level specific covariate values
dat$xc <- (dat$x1 + dat$x2) / 2
fit <- brm(y ~ xc + (1 + mmc(x1, x2) | mm(g1, g2)), data = dat)
summary(fit)
## End(Not run)
```

[Package

*brms*version 2.21.0 Index]