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makemyprior  

Intuitive Construction of Joint Priors for Variance Parameters
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("makemyprior", "1.2.2")



Attach the package and use:
library("makemyprior")
Maintained by
Ingeborg Hem
[Scholar Profile | Author Map]
First Published: 2021-05-18
Latest Update: 2022-03-14
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.
How to cite:
Ingeborg Hem (2021). makemyprior: Intuitive Construction of Joint Priors for Variance Parameters. R package version 1.2.2, https://cran.r-project.org/web/packages/makemyprior. Accessed 08 May. 2025.
Previous versions and publish date:
1.0.0 (2021-05-18 13:00), 1.0.1 (2022-02-21 14:30), 1.1.0 (2022-03-14 15:20), 1.2.0 (2024-03-06 14:10), 1.2.1 (2024-04-09 13:20)
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Complete documentation for makemyprior
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