qbld
Quantile Regression for Binary Longitudinal Data
Implements the Bayesian quantile regression model for binary longitudinal data (QBLD) developed in Rahman and Vossmeyer (2019) doi:10.1108/S0731-90532019000040B009. The model handles both fixed and random effects and implements both a blocked and an unblocked Gibbs sampler for posterior inference.
- Version1.0.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- qbld citation info
- Last release01/06/2022
Documentation
Team
Ayush Agarwal
Dootika Vats
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Insights
Last 30 days
This package has been downloaded 200 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,768 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 143 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports6 packages
- Linking To3 packages