twopartm
Two-Part Model with Marginal Effects
Fit two-part regression models for zero-inflated data. The models and their components are represented using S4 classes and methods. Average Marginal effects and predictive margins with standard errors and confidence intervals can be calculated from two-part model objects. Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) doi:10.1177/1536867X1501500102.
- Version0.1.0
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/14/2022
Documentation
Team
Yajie Duan
MaintainerShow author detailsJavier Cabrera
Show author detailsRolesAuthorPfizer Inc.
Show author detailsRolesCopyright holder, fndBirol Emir
Show author detailsRolesAuthorGriffith Bell
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 336 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 4,329 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 Dec 05, 2024 with 41 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
- Imports2 packages