Akaike information criterion — AIC.brs • betaregscale

Akaike information criterion

Usage

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

Arguments

object: A fitted "betaregscale" object.
...: Ignored.
k: Penalty per parameter (default 2).

Value

Scalar AIC value.

See also

brs, logLik.brs, BIC.brs, 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)
)
prep <- brs_prep(dat, ncuts = 100)
#> brs_prep: n = 20 | exact = 0, left = 1, right = 1, interval = 18
fit <- brs(y ~ x1, data = prep)
AIC(fit)
#> [1] 191.3041
# }