# The Skew-Normal and Related Distributions Such as the Skew-t

## Documentation for package ‘sn’ version 1.6-1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D E F G L M O P Q R S T V W Z

sn-package | Package 'sn': development and brief overview

## -- A --

affineTransSECdistr | Affine transformations and marginals of a skew-elliptical distribution
ais | Australian Institute of Sport data

## -- B --

barolo | Price of Barolo wine

## -- C --

coef-method | Coefficients of objects created by 'selm'
coef.mselm | Coefficients of objects created by 'selm'
coef.selm | Coefficients of objects created by 'selm'
conditionalSECdistr | Skew-normal conditional distribution
confint-method | Classes 'selm' and 'mselm' of objects created by function 'selm'
confint.selm | Confidence intervals for parameters of a selm-class object
confint.selm-method | Confidence intervals for parameters of a selm-class object
cp2dp | Conversion between parametrizations of a skew-elliptical distribution

## -- D --

dmsc | Multivariate skew-t distribution and skew-Cauchy distribution
dmsn | Multivariate skew-normal distribution
dmst | Multivariate skew-t distribution and skew-Cauchy distribution
dmSymmModulated | Symmetry-modulated distributions
dp2cp | Conversion between parametrizations of a skew-elliptical distribution
dp2op | Conversion between parametrizations of a skew-elliptical distribution
dsc | Skew-Cauchy Distribution
dsn | Skew-Normal Distribution
dst | Skew-t Distribution
dSymmModulated | Symmetry-modulated distributions
duplicationMatrix | vech and other matrix operators

## -- E --

extractSECdistr | Extract the SEC error term from an object created by 'selm'

## -- F --

fitted-method | Residuals and fitted values from 'selm' fits
fitted.mselm | Residuals and fitted values from 'selm' fits
fitted.selm | Residuals and fitted values from 'selm' fits
fournum | Four-number summary of a numeric vector
frontier | Simulated sample from a skew-normal distribution

## -- G --

galton_moors2alpha_nu | Mapping of the (Galton-Bowley, Moors) measures to the (alpha, nu) parameters of a ST distribution

## -- L --

logLik-method | Classes 'selm' and 'mselm' of objects created by function 'selm'

## -- M --

makeSECdistr | Build a skew-elliptically contoured distribution
marginalSECdistr | Affine transformations and marginals of a skew-elliptical distribution
mean-method | Class '"SECdistrMv"'
mean-method | Class '"SECdistrUv"'
modeSECdistr | The mode of a skew-elliptically contoured (SEC) distribution
MPpenalty | Penalty function for log-likelihood of 'selm' models
mselm-class | Classes 'selm' and 'mselm' of objects created by function 'selm'
msn.mle | Fitting functions for 'selm' models
msn.mple | Fitting functions for 'selm' models
mst.mple | Fitting functions for 'selm' models
mst.prelimFit | Compute preliminary estimates for a linear model with ST-distributed error term

## -- O --

op2dp | Conversion between parametrizations of a skew-elliptical distribution
overview | Package 'sn': overview of the package structure and commands
overview-sn | Package 'sn': overview of the package structure and commands

## -- P --

pkg-overview | Package 'sn': overview of the package structure and commands
plot-method | Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'
plot-method | Diagnostic plots for 'selm' fits
plot-method | Classes 'selm' and 'mselm' of objects created by function 'selm'
plot.mselm | Diagnostic plots for 'selm' fits
plot.SECdistr | Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'
plot.SECdistrMv | Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'
plot.SECdistrUv | Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'
plot.selm | Diagnostic plots for 'selm' fits
plot2D.SymmModulated | Symmetry-modulated distributions
pmsc | Multivariate skew-t distribution and skew-Cauchy distribution
pmsn | Multivariate skew-normal distribution
pmst | Multivariate skew-t distribution and skew-Cauchy distribution
pprodn2 | The distribution of the product of two jointly normal or _t_ variables
pprodt2 | The distribution of the product of two jointly normal or _t_ variables
predict-method | Classes 'selm' and 'mselm' of objects created by function 'selm'
predict.selm | Predict method for selm-class objects
predict.selm-method | Predict method for selm-class objects
profile.selm | Profile log-likelihood function of selm-class objects
profile.selm-method | Profile log-likelihood function of selm-class objects
psc | Skew-Cauchy Distribution
psn | Skew-Normal Distribution
pst | Skew-t Distribution

## -- Q --

Qpenalty | Penalty function for log-likelihood of 'selm' models
qprodt2 | The distribution of the product of two jointly normal or _t_ variables
qsc | Skew-Cauchy Distribution
qsn | Skew-Normal Distribution
qst | Skew-t Distribution

## -- R --

residuals-method | Residuals and fitted values from 'selm' fits
residuals.mselm | Residuals and fitted values from 'selm' fits
residuals.selm | Residuals and fitted values from 'selm' fits
rmsc | Multivariate skew-t distribution and skew-Cauchy distribution
rmsn | Multivariate skew-normal distribution
rmst | Multivariate skew-t distribution and skew-Cauchy distribution
rmSymmModulated | Symmetry-modulated distributions
rsc | Skew-Cauchy Distribution
rsn | Skew-Normal Distribution
rst | Skew-t Distribution
rSymmModulated | Symmetry-modulated distributions

## -- S --

sd | Standard deviation
sd-method | Class '"SECdistrUv"'
sd.default | Standard deviation
SECdistrMv-class | Class '"SECdistrMv"'
SECdistrUv-class | Class '"SECdistrUv"'
selm | Fitting linear models with skew-elliptical error term
selm-class | Classes 'selm' and 'mselm' of objects created by function 'selm'
selm.fit | Fitting functions for 'selm' models
show-method | Class '"SECdistrMv"'
show-method | Class '"SECdistrUv"'
show-method | Classes 'selm' and 'mselm' of objects created by function 'selm'
show-method | Classes 'summary.SECdistrMv' and 'summary.SECdistrUv'
show-method | Summarizing 'selm' fits
SN | Package 'sn': development and brief overview
sn.cumulants | Cumulants of univariate skew-normal and skew-t distributions
sn.infoMv | Expected and observed Fisher information for SN and ST distributions
sn.infoUv | Expected and observed Fisher information for SN and ST distributions
sn.mple | Fitting functions for 'selm' models
st.cumulants | Cumulants of univariate skew-normal and skew-t distributions
st.infoMv | Expected and observed Fisher information for SN and ST distributions
st.infoUv | Expected and observed Fisher information for SN and ST distributions
st.mple | Fitting functions for 'selm' models
st.prelimFit | Compute preliminary estimates for a linear model with ST-distributed error term
summary-method | Summary of a SEC distribution object
summary-method | Summarizing 'selm' fits
summary.mselm | Summarizing 'selm' fits
summary.mselm-class | Summarizing 'selm' fits
summary.SECdistr | Summary of a SEC distribution object
summary.SECdistrMv | Summary of a SEC distribution object
summary.SECdistrMv-class | Classes 'summary.SECdistrMv' and 'summary.SECdistrUv'
summary.SECdistrUv | Summary of a SEC distribution object
summary.SECdistrUv-class | Classes 'summary.SECdistrMv' and 'summary.SECdistrUv'
summary.selm | Summarizing 'selm' fits
summary.selm-class | Summarizing 'selm' fits
SymmModulatedDistr | Symmetry-modulated distributions

## -- T --

T.Owen | Owen's function

## -- V --

vcov-method | Class '"SECdistrMv"'
vcov-method | Classes 'selm' and 'mselm' of objects created by function 'selm'
vech | vech and other matrix operators
vech2mat | vech and other matrix operators

## -- W --

weights-method | Classes 'selm' and 'mselm' of objects created by function 'selm'
wines | Piedmont wines data

## -- Z --

zeta | Function log(2*Phi(x)) and its derivatives