Software implementing the methodology proposed by Magrini et al. (2018) <DOI:10.17713/ajs.v47i3.629>. The elicitation of an informative prior distribution on parameters of a univariate conditional model is typically difficult when the response is a medical continuous variable, because some level of statistical training is required to a medical expert for interpreting parameters and for retrieving appropriate quantitative information about them. Magrini et al. (2018) proposed a generalized Beta regression where parameter elicitation is performed by establishing a correspondence among measured values expressed as relative positions within intervals with a clinical interpretation, regardless the original scales of variables.
Package details |
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Author | Alessandro Magrini |
Maintainer | Alessandro Magrini <alessandro.magrini@unifi.it> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
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