predict.SEL {SEL}R Documentation

Evaluate the expert's density (or cdf)

Description

Evaluate the density or cdf of an SEL object.

Usage

## S3 method for class 'SEL':
predict(object, newdata = seq(object$bounds[1],
      object$bounds[2], length = 101), type = c("density", "cdf"), deriv, ...)

Arguments

object An SEL object.
newdata Where to evaluate the distribution.
type Determines whether to evaluate the expert's density or cdf (only if deriv is missing).
deriv Determines which derivative of the expert's distribution should be evaluated.
... ...

Value

A numeric vector

Author(s)

Bjoern Bornkamp

References

Bornkamp, B. and Ickstadt, K. (2009). A Note on B-Splines for Semiparametric Elicitation. The American Statistician, to appear

See Also

SEL

Examples

# example from O'Hagan et al. (2006)
x <- c(177.5, 183.75, 190, 205, 220)
y <- c(0.175, 0.33, 0.5, 0.75, 0.95)

default   <- SEL(x, y, Delta = 0.05, bounds = c(165, 250))
predict(default, newdata = c(200, 205))

[Package SEL version 1.0-1 Index]