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indirect  

Elicitation of Independent Conditional Means Priors for Generalised Linear Models
View on CRAN: Click here


Download and install indirect package within the R console
Install from CRAN:
install.packages("indirect")

Install from Github:
library("remotes")
install_github("cran/indirect")

Install by package version:
library("remotes")
install_version("indirect", "0.2.1")



Attach the package and use:
library("indirect")
Maintained by
Geoff Hosack
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-06
Latest Update: 2022-02-09
Description:
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) . For example, experts may be asked to provide central credible intervals that correspond to a certain probability. Or experts may be allowed to vary the probability allocated to the central credible interval for each design point. Additionally, a median may or may not be elicited.
How to cite:
Geoff Hosack (2018). indirect: Elicitation of Independent Conditional Means Priors for Generalised Linear Models. R package version 0.2.1, https://cran.r-project.org/web/packages/indirect. Accessed 21 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:49), 0.1.2 (2018-04-06 14:42), 0.2.0 (2018-04-12 12:34)
Other packages that cited indirect R package
View indirect citation profile
Other R packages that indirect depends, imports, suggests or enhances
Complete documentation for indirect
Functions, R codes and Examples using the indirect R package
Some associated functions: CNdiag . checkX . dGompertzNorm . dLogitNorm . designLink . elicitPt . indirect . mV . makeSweave . muSigma . pdist . plotDesignPoint . saveRecord . 
Some associated R codes: elicit_functions.R . fitting_functions.R . indirect.R . plotting_functions.R .  Full indirect package functions and examples
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