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bqror  

Bayesian Quantile Regression for Ordinal Models
View on CRAN: Click here


Download and install bqror package within the R console
Install from CRAN:
install.packages("bqror")

Install from Github:
library("remotes")
install_github("cran/bqror")

Install by package version:
library("remotes")
install_version("bqror", "1.7.1")



Attach the package and use:
library("bqror")
Maintained by
Prajual Maheshwari
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-26
Latest Update: 2024-12-14
Description:
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
How to cite:
Prajual Maheshwari (2020). bqror: Bayesian Quantile Regression for Ordinal Models. R package version 1.7.1, https://cran.r-project.org/web/packages/bqror. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-02-26 16:00), 0.1.1 (2020-08-11 11:50), 0.1.2 (2020-09-20 12:30), 0.1.3 (2020-11-10 09:40), 0.1.4 (2021-01-24 06:30), 0.1.5 (2021-07-04 20:10), 0.1.6 (2021-07-23 16:10), 1.1.0 (2021-09-12 23:40), 1.2.0 (2021-09-28 18:00), 1.3.0 (2021-11-22 00:00), 1.4.0 (2022-07-06 15:40), 1.5.0 (2023-03-14 09:20), 1.6.0 (2023-03-25 10:00), 1.6.1 (2023-05-06 06:30), 1.7.0 (2024-04-13 09:50)
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Complete documentation for bqror
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