bbreg
Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data
Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel and Beta regressions to a data set with a bounded continuous response variable. The Bessel regression is a new and robust approach proposed in the literature. The EM version for the well known Beta regression is another major contribution of this package. See details in the references Barreto-Souza, Mayrink and Simas (2022) doi:10.1111/anzs.12354 and Barreto-Souza, Mayrink and Simas (2020) doi:10.48550/arXiv.2003.05157.
- Version2.0.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release02/14/2022
Documentation
Team
Vinicius Mayrink
Alexandre B. Simas
Show author detailsRolesAuthorWagner Barreto-Souza
Insights
Last 30 days
This package has been downloaded 356 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 4 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 4,264 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Oct 30, 2024 with 85 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
- Imports4 packages
- Suggests2 packages
- Reverse Suggests1 package