ginormal
Generalized Inverse Normal Distribution Density and Generation
Density function and generation of random variables from the Generalized Inverse Normal (GIN) distribution from Robert (1991) <doi:10.1016/0167-7152(91)90174-P>. Also provides density functions and generation from the GIN distribution truncated to positive or negative reals. Theoretical guarantees supporting the sampling algorithms and an application to Bayesian estimation of network formation models can be found in the working paper Ding, Estrada and Montoya-Blandón (2023) <https://www.smontoyablandon.com/publication/networks/network_externalities.pdf>.
- Version0.0.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release08/27/2023
Documentation
Team
Santiago Montoya-Blandón
Jianming Jin
Show author detailsRolesContributorCheng Ding
Show author detailsRolesAuthorJuan Estrada
Zhilang Xia
Show author detailsRolesAuthorShanjie Zhang
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 170 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 5 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 2,271 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 23, 2024 with 26 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
- Imports1 package