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 |
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
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 1.0-4 Index]