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sn: The Skew-Normal and Related Distributions Such as the Skew-t and the SUN

Build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t and the SUN families. For the skew-normal and the skew-t distributions, statistical methods are provided for data fitting and model diagnostics, in the univariate and the multivariate case.

Version: 2.1.1
Depends: R (≥ 3.0.0), methods, stats4
Imports: mnormt (≥ 2.0.0), numDeriv, utils, quantreg
Suggests: R.rsp
Published: 2023-04-04
Author: Adelchi Azzalini ORCID iD [aut, cre]
Maintainer: Adelchi Azzalini <adelchi.azzalini at unipd.it>
License: GPL-2 | GPL-3
URL: http://azzalini.stat.unipd.it/SN/
NeedsCompilation: no
Citation: sn citation info
Materials: NEWS
In views: Distributions
CRAN checks: sn results

Documentation:

Reference manual: sn.pdf
Vignettes: How to sample from the SN and related distributions
A brief overview of the package 'sn'
An introduction to the package 'sn'

Downloads:

Package source: sn_2.1.1.tar.gz
Windows binaries: r-devel: sn_2.1.1.zip, r-release: sn_2.1.1.zip, r-oldrel: sn_2.1.1.zip
macOS binaries: r-release (arm64): sn_2.1.1.tgz, r-oldrel (arm64): sn_2.1.1.tgz, r-release (x86_64): sn_2.1.1.tgz, r-oldrel (x86_64): sn_2.1.1.tgz
Old sources: sn archive

Reverse dependencies:

Reverse depends: enveomics.R, goft, MCMCtreeR
Reverse imports: abtest, ALDqr, asymmetry.measures, atRisk, BayesMultiMode, blapsr, bssn, Compositional, distdichoR, ExtremalDep, facmodCS, facmodTS, fAssets, fMultivar, fmx, GeoModels, ICAOD, MAINT.Data, mateable, matrisk, MNARclust, mvdalab, npboottprm, ordgam, parfm, pema, proteus, QuadratiK, RFlocalfdr, Rgbp, Rlgt, robmed, rSHAPE, sampsizeval, SGP, SMARTp, SPreg, ssmn, ssmodels, stochvolTMB, TFisher, ThermalSampleR, TSMSN, VarReg
Reverse suggests: BLCOP, COMIX, DepthProc, EvidenceSynthesis, fCopulae, fic, fitteR, inlabru, MetricGraph, mi, mlpwr, modnets, param2moment, PointedSDMs, qrmtools, rSPDE, skewMLRM, snem, ssym, stuart, symmetry, tclust

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sn to link to this page.

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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