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SEL (version 1.0-4)

Semiparametric Elicitation

Description

Implements a method for fitting a bounded probability distribution to quantiles (for example stated by an expert), see Bornkamp and Ickstadt (2009) for details. For this purpose B-splines are used, and the density is obtained by penalized least squares based on a Brier entropy penalty. The package provides methods for fitting the distribution as well as methods for evaluating the underlying density and cdf. In addition methods for plotting the distribution, drawing random numbers and calculating quantiles of the obtained distribution are provided.

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Version

Install

install.packages('SEL')

Monthly Downloads

449

Version

1.0-4

License

GPL

Maintainer

Last Published

November 25th, 2023

Functions in SEL (1.0-4)

rvSEL

Simulate from the expert's distribution
quantSEL

Calculate quantiles of an SEL object.
SEL-internal

SEL internal functions
knotave

Calculate the knot averages of a B-spline basis.
min_abs

Find gamma given Delta
plot.SEL

Plotting an SEL object
comparePlot

Compare different elicitated densities.
fit.SEL

Fit an SEL object
SEL

Semiparametric Elicitation of a bounded parameter
SEL-package

Semiparametric Elicitation of a bounded parameter.
predict.SEL

Evaluate the expert's density (or cdf)
getbinPost

Calculate posterior distribution for binomial model