Package: ginormal 0.0.2

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>.

Authors:Santiago Montoya-Blandón [cre, aut], Cheng Ding [aut], Juan Estrada [aut], Zhilang Xia [aut], Shanjie Zhang [ctb], Jianming Jin [ctb]

ginormal_0.0.2.tar.gz
ginormal_0.0.2.zip(r-4.7)ginormal_0.0.2.zip(r-4.6)ginormal_0.0.2.zip(r-4.5)
ginormal_0.0.2.tgz(r-4.6-x86_64)ginormal_0.0.2.tgz(r-4.6-arm64)ginormal_0.0.2.tgz(r-4.5-x86_64)ginormal_0.0.2.tgz(r-4.5-arm64)
ginormal_0.0.2.tar.gz(r-4.7-arm64)ginormal_0.0.2.tar.gz(r-4.7-x86_64)ginormal_0.0.2.tar.gz(r-4.6-arm64)ginormal_0.0.2.tar.gz(r-4.6-x86_64)
ginormal_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ginormal/json (API)

# Install 'ginormal' in R:
install.packages('ginormal', repos = c('https://smonto2.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/smonto2/ginormal/issues

On CRAN:

Conda:

1.70 score 199 downloads 4 exports 1 dependencies

Last updated from:26ef94dedc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK106
linux-devel-x86_64OK115
source / vignettesOK161
linux-release-arm64OK98
linux-release-x86_64OK104
macos-release-arm64OK125
macos-release-x86_64OK294
macos-oldrel-arm64OK136
macos-oldrel-x86_64OK392
windows-develOK118
windows-releaseOK85
windows-oldrelOK157
wasm-releaseOK90

Exports:dgindtginrginrtgin

Dependencies:BAS