Other packages > Find by keyword >

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]
All associated links for this package
First Published: 2021-05-18
Latest Update: 2024-08-23
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 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 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)
Other packages that cited makemyprior R package
View makemyprior citation profile
Other R packages that makemyprior depends, imports, suggests or enhances
Complete documentation for makemyprior
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA