Predict from a fitted model

Predict from a fitted model

Usage

# S3 method for class 'brs'
predict(
  object,
  newdata = NULL,
  type = c("response", "link", "precision", "variance", "quantile"),
  at = 0.5,
  ...
)

Arguments

object

A fitted "betaregscale" object.

newdata

Optional data frame for prediction.

type

Prediction type: "response" (default), "link", "precision", "variance", or "quantile".

at

Numeric vector of probabilities for quantile predictions (default 0.5).

...

Currently ignored.

Value

Numeric vector or matrix.

See also

brs, fitted.brs, brs_predict_scoreprob

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)
head(predict(fit))
#> [1] 0.5087209 0.4538020 0.5087209 0.4538020 0.5087209 0.4538020
head(predict(fit, type = "precision"))
#> [1] 0.4030146 0.4030146 0.4030146 0.4030146 0.4030146 0.4030146
newdat <- data.frame(x1 = c(1, 2))
predict(fit, newdata = newdat)
#> [1] 0.5087209 0.4538020
# }