R: Evaluate the expert's density (or cdf)

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, 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))

[Package SEL version 1.0-2 Index]