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qbld  

Quantile Regression for Binary Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qbld", "1.0.3")



Attach the package and use:
library("qbld")
Maintained by
Ayush Agarwal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-10
Latest Update: 2022-01-06
Description:
Implements the Bayesian quantile regression model for binary longitudinal data (QBLD) developed in Rahman and Vossmeyer (2019) . The model handles both fixed and random effects and implements both a blocked and an unblocked Gibbs sampler for posterior inference.
How to cite:
Ayush Agarwal (2020). qbld: Quantile Regression for Binary Longitudinal Data. R package version 1.0.3, https://cran.r-project.org/web/packages/qbld. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2020-09-11 10:10), 1.0 (2020-09-10 16:10)
Other packages that cited qbld R package
View qbld citation profile
Other R packages that qbld depends, imports, suggests or enhances
Complete documentation for qbld
Functions, R codes and Examples using the qbld R package
Some associated functions: airpollution . aldmix . gig . locust . model.qbld . plot.qbld . qbld-package . summary.qbld . 
Some associated R codes: RcppExports.R . aldmix.R . gig.R . model.R . qbld-package.R . qbldclass.R . zzz.R .  Full qbld package functions and examples
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