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New function sampleFit(), for generating samples from fitted distributions.
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Minor change to fitDirichlet(), to allow marginal elicitation fits to be specified as a single list.
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Update to fitprecision(): interval used in the proportion method can now be a tail area of the population distribution
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New shiny app elicitBivariate() for eliciting bivariate distributions using a Gaussian copula
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Significant update to elicit() shiny app: can now swtich between multiple methods within the same app
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New shiny app elicitMultiple() for fitting individual distributions to multiple experts' judgements
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Bug fixed: plinearpool() now chooses the best fitting distribution for each expert if argument d = "best" is specified.
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Bug fixed: qlinearpool() could return NA in some cases if argument d = "best" was specified: now fixed.
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New function: generateReport(): renders an Rmarkdown document to give formulae and parameter values for all the fitted distributions
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New function: condDirichlet(), for viewing conditional distributions from elicited Dirichlet distributions
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New functions: plotQuartiles() and plotTertiles(), for displaying individuals quartiles/tertiles elicited from a group of experts
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New functions: elicitQuartiles() and elicitTertiles(): shiny apps for eliciting with the quartile and tertile methods
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elicit() and roulette() functions now both return the elicited values and results as objects of class "elicitation"
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Bug fixed: ensure solid line used for linear pool when plotting. Option in plotfit added to plot all individual densities with same colour, to simplify legend.
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New function: linearPoolDensity, for extracting density values from the linear pool.
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Bug fixed: can now accept more than 26 experts.
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Bug fixed: qlinearpool/plinearpool now works with log t distributions.
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New function: elicitHeterogen, for eliciting prior for variance of random effects in meta-analysis
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Bug fixed: can fit (and plot) distributions bounded below when lower limit is negative
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Bug fixed: roulette method shiny interface works with non-integer bin boundaries
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Accept non-decreasing probabilities in elicited judgements, rather than only strictly increasing probabilities
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Can specify own axes labels in the plotfit command with arguments xlab and ylab
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Update to Multivariate-normal-copula.Rmd vignette, to match update to GGally
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Bug fixed: interactive plots now work for plotting individual distributions for multiple experts
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Bug fixed: plotting best fitting individual distributions for multiple experts
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Roulette elicitation method now implemented using shiny
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New functions fitDirchlet and feedbackDirichlet for eliciting Dirichlet distributions
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New functions copulaSample and elicitConcProb for eliciting dependent distributions using multivariate normal copulas
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New function compareIntervals for comparing fitted intervals for individual distributions from multiple experts
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Change to expert.names from numbers to letters in fitdist
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Vignettes added: overview of SHELF, eliciting a Dirichlet distribution, eliciting a bivariate distribution with a bivariate normal copula
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Change in fitdist to starting values in optimisation: will now check for exact fits if only two probabilities elicited
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New functions added for eliciting beliefs about uncertain population distributions: cdffeedback, cdfplot, fitprecision, pdfplots