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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>.
Version: | 0.0.2 |
Depends: | R (≥ 3.5.0) |
Imports: | BAS |
Published: | 2023-08-27 |
DOI: | 10.32614/CRAN.package.ginormal |
Author: | Santiago Montoya-Blandón [cre, aut], Cheng Ding [aut], Juan Estrada [aut], Zhilang Xia [aut], Shanjie Zhang [ctb], Jianming Jin [ctb] |
Maintainer: | Santiago Montoya-Blandón <Santiago.Montoya-Blandon at glasgow.ac.uk> |
BugReports: | https://github.com/smonto2/ginormal/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/smonto2/ginormal |
NeedsCompilation: | yes |
Materials: | README |
In views: | Distributions |
CRAN checks: | ginormal results |
Reference manual: | ginormal.pdf |
Package source: | ginormal_0.0.2.tar.gz |
Windows binaries: | r-devel: ginormal_0.0.2.zip, r-release: ginormal_0.0.2.zip, r-oldrel: ginormal_0.0.2.zip |
macOS binaries: | r-release (arm64): ginormal_0.0.2.tgz, r-oldrel (arm64): ginormal_0.0.2.tgz, r-release (x86_64): ginormal_0.0.2.tgz, r-oldrel (x86_64): ginormal_0.0.2.tgz |
Old sources: | ginormal archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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