Tools to Support the Sheffield Elicitation Framework
Feedback for the elicited distribution of the population CDF
Plot distribution of CDF
Plot fitted population pdfs
Compare individual elicited distributions with linear pool and RIO dis...
Plot fitted intervals for each expert
Generate correlated samples from elicited marginal distributions using...
Elicit judgements and fit distributions interactively
Sample from the elicited distributions
Elicit a bivariate distribution using a Gaussian copula
Elicit a Dirichlet distribution interactively
Elicitation with the extension method
Elicit a prior distribution for a random effects variance parameter
Elicit a mixture distribution using the extension method
Elicit individual judgements and fit distributions for multiple expert...
Elicitation for survival extrapolation
Report quantiles and probabilities from the fitted probability distrib...
Calculate quantiles for the marginal distributions of a Dirichlet dist...
Fit a Dirichlet distribution to elicited marginal distributions for pr...
Fit distributions to elicited probabilities
Sample from the marginal distribution of the target variable
Fit a distribution to judgements about a population precision
Generate a report to show the fitted distributions
Obtain points on the density function of a linear pool
Plot the elicited cumulative probabilities
Tabulate Summary Data for Survival Extrapolation
Probabilities quantiles and samples from a (weighted) linear pool
Plot density of the target variable, conditional on the extension vari...
Plot the conditional median function
Plot the fitted density function for one or more experts
Plot elicited quartiles, median and plausible range for each expert
Plot elicted tertiles, median and plausible range for each expert
SHELF: Tools to Support the Sheffield Elicitation Framework
Plot survival data and elicited extrapolated intervals
Compare Multiple Fitted Models for Survival Extrapolation
Scenario Testing for Survival Extrapolation
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.