DBR
Discrete Beta Regression
Bayesian Beta Regression, adapted for bounded discrete responses, commonly seen in survey responses. Estimation is done via Markov Chain Monte Carlo sampling, using a Gibbs wrapper around univariate slice sampler doi:10.1214/aos/1056562461, as implemented in the R package MfUSampler doi:10.18637/jss.v078.c01.
- Version1.4.1
- R versionunknown
- Needs compilation?No
- Last release02/20/2023
Documentation
Team
Alireza Mahani
Mansour Sharabiani
Show author detailsRolesAuthorAlex Bottle
Show author detailsRolesAuthorCathy Price
Show author detailsRolesAuthor
Insights
Last 30 days
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
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages