pogit
Bayesian Variable Selection for a Poisson-Logistic Model
Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.
- Version1.3.0
- R version≥ 2.10.0
- LicenseGPL-2
- Needs compilation?No
- pogit citation info
- Last release05/25/2022
Documentation
Team
Michaela Dvorzak
Helga Wagner
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Insights
Last 30 days
This package has been downloaded 169 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 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 2,174 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 Sep 11, 2024 with 30 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.
Data provided by CRAN
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Dependencies
- Imports3 packages
- Suggests1 package