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indirect

0.2.1Package record

Elicitation of Independent Conditional Means Priors for Generalised Linear Models

0packages depend
2.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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) doi:10.1016/j.ress.2017.06.011. 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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Geoff Hosack <geoff.hosack@csiro.au>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("Geoffrey", "R."),
                      family = "Hosack",
                      role = "aut"),
               person(given = "Geoff",
                      family = "Hosack",
                      role = "cre",
                      email = "geoff.hosack@csiro.au"))
as necessary.

CRAN check page ↗

Slowest check: 1.3 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
13includes a package overview page
Examples that run
80%8 run in a plain check · 2 never run
Exported functions with examples
83%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
8%

Downloads

2.3K
CRAN downloads in the past year
Rank #20,175 · ~6/day · ~194/mo
Daily download trend is not available in this view yet.
22030 days
66190 days
2.3K1 year
Compare downloads with other packages →
Also on73 r2u2 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing indirect adds 4 packages (3 with compiled code, 4.9 MB of source tarballs). Heaviest: gplots 4.6 MB, gtools 236 KB, caTools 64 KB.

Depends (1)
R >= 3.1.0
Imports (2)
MASSgplots
LinkingTo (0)
none
Suggests (2)
toolsutils
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1.2 (2018)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.1Latest
    record
    2022-02-09 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2.0
    record
    2018-04-12 · diff ↗
  • 0.1.2
    record
    2018-04-06
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-04-06
Total releases
3 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1.0
Download size
210 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("indirect")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for indirect version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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