SHELF-package: SHELF: Tools to Support the Sheffield Elicitation Framework
In SHELF: Tools to Support the Sheffield Elicitation Framework
SHELF-package R Documentation
SHELF: Tools to Support the Sheffield Elicitation Framework
Description
Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions; eliciting multivariate distributions using a Gaussian copula; eliciting a Dirichlet distribution; eliciting distributions for variance parameters in a random effects meta-analysis model; survival extrapolation. R Shiny apps for most of the methods are included.
Author(s)
Maintainer: Jeremy Oakley j.oakley@sheffield.ac.uk
See Also
Useful links:
SHELF documentation built on Sept. 11, 2024, 6:54 p.m.
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| SHELF-package | R Documentation |
SHELF: Tools to Support the Sheffield Elicitation Framework
Description
Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions; eliciting multivariate distributions using a Gaussian copula; eliciting a Dirichlet distribution; eliciting distributions for variance parameters in a random effects meta-analysis model; survival extrapolation. R Shiny apps for most of the methods are included.
Author(s)
Maintainer: Jeremy Oakley j.oakley@sheffield.ac.uk
See Also
Useful links:
R Package Documentation
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