Package: ssmsn 0.2.0

ssmsn: Scale-Shape Mixtures of Skew-Normal Distributions

It provides the density and random number generator for the Scale-Shape Mixtures of Skew-Normal Distributions proposed by Jamalizadeh and Lin (2016) <doi:10.1007/s00180-016-0691-1>.

Authors:Rocio Maehara and Luis Benites

ssmsn_0.2.0.tar.gz
ssmsn_0.2.0.zip(r-4.7-any)ssmsn_0.2.0.zip(r-4.6-any)ssmsn_0.2.0.zip(r-4.5-any)
ssmsn_0.2.0.tgz(r-4.6-any)ssmsn_0.2.0.tgz(r-4.5-any)
ssmsn_0.2.0.tar.gz(r-4.7-any)ssmsn_0.2.0.tar.gz(r-4.6-any)
ssmsn_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ssmsn/json (API)

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

Bug tracker:https://github.com/lbenitesanchez/ssmsn/issues

On CRAN:

Conda:

3.00 score 2 stars 2 scripts 229 downloads 2 exports 10 dependencies

Last updated from:f3feea4489. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK218
source / vignettesOK171
linux-releaseOK157
macos-releaseOK156
macos-oldrelOK161
windows-develOK72
windows-releaseOK74
windows-oldrelOK62
wasm-releaseOK124

Exports:dssmsnrssmsn

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival