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bqror

1.7.1

Bayesian Quantile Regression for Ordinal Models

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9.7Kdownloads / year
69.9%test coverage
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Overview

About
Maintained by Prajual MaheshwariFirst published 2020-02-2616 releasesCRAN page ↗GitHub ↗

Package provides functions for estimation and inference in Bayesian quantile regression with ordinal outcomes. An ordinal model with 3 or more outcomes (labeled OR1 model) is estimated by a combination of Gibbs sampling and Metropolis-Hastings (MH) algorithm. Whereas an ordinal model with exactly 3 outcomes (labeled OR2 model) is estimated using a Gibbs sampling algorithm. The summary output presents the posterior mean, posterior standard deviation, 95% credible intervals, and the inefficiency factors along with the two model comparison measures – logarithm of marginal likelihood and the deviance information criterion (DIC). The package also provides functions for computing the covariate effects and other functions that aids either the estimation or inference in quantile ordinal models. Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis, 11(1): 1-24 <doi: 10.1214/15-BA939>. Yu, K., and Moyeed, R. A. (2001). “Bayesian Quantile Regression.” Statistics and Probability Letters, 54(4): 437–447 <doi: 10.1016/S0167-7152(01)00124-9>. Koenker, R., and Bassett, G. (1978).“Regression Quantiles.” Econometrica, 46(1): 33-50 <doi: 10.2307/1913643>. Chib, S. (1995). “Marginal likelihood from the Gibbs output.” Journal of the American Statistical Association, 90(432):1313–1321, 1995. <doi: 10.1080/01621459.1995.10476635>. Chib, S., and Jeliazkov, I. (2001). “Marginal likelihood from the Metropolis-Hastings output.” Journal of the American Statistical Association, 96(453):270–281, 2001. <doi: 10.1198/016214501750332848>.

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Health

CRAN checks
13OK
Slowest check: 4.1 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.06
69.9%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
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Documented parameters
100%
Return-value docs
100%
References docs
91%

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Repository

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License GPL-3.0 · Last activity 2022-07-06

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/prajual/bqror on 2026-07-19.

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

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (1)
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none
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Code & Tests

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People & History

People (2)
Maintainer (1)
Authors (1)
Author · added in 1.2.0
Listed in earlier versions (2)
no longer listed · 0.1.0 to 0.1.6
Package Timeline

16 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
  • 1.7.1Latest
    2024-12-14 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.7.0
    2024-04-13 · diff ↗
  • 1.6.1
    2023-05-06 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.6.0
    2023-03-25 · diff ↗
  • 1.5.0
    2023-03-14 · diff ↗
  • 1.4.0
    2022-07-06 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.3.0
    2021-11-22 · diff ↗
  • 1.2.0
    2021-09-28 · diff ↗
  • 1.1.0
    2021-09-12 · diff ↗
  • 0.1.6
    2021-07-23 · diff ↗
  • 0.1.5
    2021-07-04 · diff ↗
Show 8 earlier events
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.4
    2021-01-24 · diff ↗
  • 0.1.3
    2020-11-10 · diff ↗
  • 0.1.2
    2020-09-20 · diff ↗
  • 0.1.1
    2020-08-11 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0
    2020-02-26
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-02-26
Total releases
16 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
63 KB / 8 files
Download size
114 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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