SPreg
Bias Reduction in the Skew-Probit Model for a Binary Response
Provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Cauchy prior type of penalization are implemented, as described in DongHyuk Lee and Samiran Sinha (2019+) doi:10.1080/00949655.2019.1590579.
- Version1.0
- R version≥ 3.0
- LicenseGPL-3
- Needs compilation?No
- Last release03/16/2019
Team
DongHyuk Lee
Samiran Sinha
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Insights
Last 30 days
This package has been downloaded 111 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 3 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 1,615 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 Jul 15, 2024 with 58 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