predict.SEL: Evaluate the expert's density (or cdf)

In SEL: Semiparametric Elicitation

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, 63, 373–377

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))

SEL documentation built on Nov. 25, 2023, 5:09 p.m.