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makemyprior

Intuitive Construction of Joint Priors for Variance Parameters

v1.2.2 · Aug 23, 2024 · GPL (>= 2)

Description

Tool for easy prior construction and visualization. It helps to formulates joint prior distributions for variance parameters in latent Gaussian models. The resulting prior is robust and can be created in an intuitive way. A graphical user interface (GUI) can be used to choose the joint prior, where the user can click through the model and select priors. An extensive guide is available in the GUI. The package allows for direct inference with the specified model and prior. Using a hierarchical variance decomposition, we formulate a joint variance prior that takes the whole model structure into account. In this way, existing knowledge can intuitively be incorporated at the level it applies to. Alternatively, one can use independent variance priors for each model components in the latent Gaussian model. Details can be found in the accompanying scientific paper: Hem, Fuglstad, Riebler (2024, Journal of Statistical Software, <doi:10.18637/jss.v110.i03>).

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 30, 2026
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ERROR 11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 10, 2026
ERROR r-devel-macos-arm64

re-building of vignette outputs

Error(s) in re-building vignettes:
--- re-building ‘latin_square.Rmd’ using rmarkdown
--- finished re-building ‘latin_square.Rmd’

--- re-building ‘make_prior.Rmd’ using rmarkdown
makemyprior_models         package:makemyprior         R Documentation
...[truncated]...
 R is aborting now ...
--- re-building ‘wheat_breeding.Rmd’ using rmarkdown
--- finished re-building ‘wheat_breeding.Rmd’

SUMMARY: processing the following file failed:
  ‘neonatal_mortality.Rmd’

Error: Vignette re-building failed.
Execution halted
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package dependencies

Package suggested but not available for checking: ‘INLA’
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package dependencies

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Dependency Network

Dependencies Reverse dependencies ggplot2 Matrix shiny shinyjs shinyBS visNetwork rlang MASS makemyprior

Version History

new 1.2.2 Mar 10, 2026
updated 1.2.2 ← 1.2.1 diff Aug 22, 2024
updated 1.2.1 ← 1.2.0 diff Apr 8, 2024
updated 1.2.0 ← 1.1.0 diff Mar 5, 2024
updated 1.1.0 ← 1.0.1 diff Mar 13, 2022
updated 1.0.1 ← 1.0.0 diff Feb 20, 2022
new 1.0.0 May 17, 2021