Extract design matrix

Extract design matrix

Usage

# S3 method for class 'brsmm'
model.matrix(object, model = c("mean", "precision", "random"), ...)

Arguments

object

A fitted "brsmm" object.

model

Character: "mean" (default), "precision", or "random".

...

Ignored.

Value

The design matrix for the specified submodel.

See also

brsmm, formula.brsmm

Examples

# \donttest{
dat <- data.frame(
  y = c(
    0, 5, 20, 50, 75, 90, 100, 30, 60, 45,
    10, 40, 55, 70, 85, 25, 35, 65, 80, 15
  ),
  x1 = rep(c(1, 2), 10),
  id = factor(rep(1:4, each = 5))
)
prep <- brs_prep(dat, ncuts = 100)
#> brs_prep: n = 20 | exact = 0, left = 1, right = 1, interval = 18
fit <- brsmm(y ~ x1, random = ~ 1 | id, data = prep)
head(model.matrix(fit))
#>   (Intercept) x1
#> 1           1  1
#> 2           1  2
#> 3           1  1
#> 4           1  2
#> 5           1  1
#> 6           1  2
head(model.matrix(fit, model = "random"))
#>   (Intercept)
#> 1           1
#> 2           1
#> 3           1
#> 4           1
#> 5           1
#> 6           1
# }