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

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))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(SEL)
Loading required package: splines
Loading required package: quadprog
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SEL/predict.SEL.Rd_%03d_medium.png", width=480, height=480)
> ### Name: predict.SEL
> ### Title: Evaluate the expert's density (or cdf)
> ### Aliases: predict.SEL
> ### Keywords: misc
> 
> ### ** 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))
[1] 0.01570182 0.01472021
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>