Functions are provided to facilitate prior elicitation for Bayesian generalised linear models using independent conditional means priors. The package supports the elicitation of multivariate normal priors for generalised linear models. The approach can be applied to indirect elicitation for a generalised linear model that is linear in the parameters. The package is designed such that the facilitator executes functions within the R console during the elicitation session to provide graphical and numerical feedback at each design point. Various methodologies for eliciting fractiles (equivalently, percentiles or quantiles) are supported, including versions of the approach of Hosack et al. (2017)
|Author||Geoffrey R. Hosack|
|Date of publication||2018-04-12 10:34:10 UTC|
|Maintainer||Geoff Hosack <[email protected]>|
|Package repository||View on CRAN|
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