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Bayesian Test Reliability Estimation

0packages depend
3.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

When samples contain missing data, are small, or are suspected of bias, estimation of scale reliability may not be trustworthy. A recommended solution for this common problem has been Bayesian model estimation. Bayesian methods rely on user specified information from historical data or researcher intuition to more accurately estimate the parameters. This package provides a user friendly interface for estimating test reliability. Here, reliability is modeled as a beta distributed random variable with shape parameters alpha=true score variance and beta=error variance (Tanzer & Harlow, 2020) doi:10.1080/00273171.2020.1854082.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Joshua Ray Tanzer <jtanzer@lifespan.org>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Joshua", "Ray"),
                    family = "Tanzer",
                    role = c("aut", "cre"),
                    email = "jtanzer@lifespan.org")
as necessary.

CRAN check page ↗

Slowest check: 4.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-07-29
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-07-27
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE11 OK, 2 NOTE2026-05-07
Show 4 earlier changesHide 4 earlier changes
  • ERROR9 OK, 2 NOTE, 1 ERROR2026-04-26
  • NOTE9 OK, 5 NOTE2026-04-23
  • ERROR8 OK, 5 NOTE, 1 ERROR2026-04-16
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 2,108 wordsVignettesNoNEWSYes · 33% structured · does not mention 0.1.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
15
Examples that run
60%9 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 4 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.3K
CRAN downloads in the past year
Rank #10,566 · ~9/day · ~277/mo
Daily download trend is not available in this view yet.
34930 days
98090 days
3.3K1 year
Compare downloads with other packages →
Also on102 r2u8 autocran68 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing brxx adds 92 packages (49 with compiled code, 91 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Imports (2)
MASSrstan
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

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

Maintainer since 0.1.0 (2020)

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
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.2Latest
    record
    2021-01-26 · current release · diff ↗ ·
    added 5 exports
    prep, process, scree, summarize, unpack
  • 0.1.1
    record
    2020-12-02 · diff ↗
  • 0.1.0
    record
    2020-11-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-11
Total releases
3 / 6 yrs
License
MIT + file LICENSE OSI
Download size
19 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("brxx")

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 brxx version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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