AIC for brsmm models — AIC.brsmm • betaregscale

AIC for brsmm models

Usage

# S3 method for class 'brsmm'
AIC(object, ..., k = 2)

Arguments

object: A fitted "brsmm" object.
...: Currently ignored.
k: Numeric penalty per parameter.

Value

Numeric scalar.

See also

brsmm, logLik.brsmm, BIC.brsmm, brs_gof

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)
AIC(fit)
#> [1] 192.3663
# }