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makemyprior

1.2.2

Intuitive Construction of Joint Priors for Variance Parameters

0packages depend
2.6Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Ingeborg HemFirst published 2021-05-186 releasesCRAN page ↗GitHub ↗

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).

Install

Health

CRAN checks
13OK
Slowest check: 4.8 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.00
0.0%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-30
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 158 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
94%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #15,986 · ~7/day · ~216/mo
Daily download trend is not available in this view yet.
15430 days
64990 days
2.6K1 year
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Repository

Repository
3Stars
0Forks
1Open issues
0Open PRs
0Releases
28Commits
4Contributors
28 commits · Last activity 2024-08-23 · 0% stars, 30d

Stars over time

2025-02-19 · 22026-07-07 · 3

Repository practices

Upstream repositoryBeta

Checks run against github.com/ingebogh/makemyprior on 2026-08-03.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (9)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Maintainer, Author · added in 1.2.0
Authors (3)
Maintainer, Author · added in 1.2.0
Listed in earlier versions (1)
no longer listed · 1.0.0 to 1.1.0
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.2Latest
    2024-08-23 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1
    2024-04-09 · diff ↗
  • 1.2.0
    2024-03-06 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.0
    2022-03-14 · diff ↗
  • 1.0.1
    2022-02-21 · diff ↗
  • 1.0.0
    2021-05-18
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-05-18
Total releases
6 / 5 yrs
License
GPL (>= 2) OSI
Additional repositories
inla.r-inla-download.org
Minimum R
≥ 3.6.0
Bundled data
194 KB / 3 files
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("makemyprior")

CRAN DOI

https://doi.org/10.32614/CRAN.package.makemyprior

BibTeX, derived from DESCRIPTION

@Manual{makemyprior,
  title  = {makemyprior: Intuitive Construction of Joint Priors for Variance Parameters},
  author = {Hem, Ingeborg and Fuglstad, Geir-Arne and Riebler, Andrea},
  year   = {2024},
  note   = {R package version 1.2.2},
  doi    = {10.32614/CRAN.package.makemyprior},
  url    = {https://CRAN.R-project.org/package=makemyprior}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorymakemyprior,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {makemyprior} version 1.2.2},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/makemyprior},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for makemyprior version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/makemyprior

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for makemyprior version 1.2.2
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/makemyprior
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/makemyprior.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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