A B C D E F G J L M O P Q R S T V W Z
| sn-package | Package 'sn': overview, background and history | 
| affineTransSECdistr | Affine transformations and marginals of a skew-elliptical distribution | 
| affineTransSUNdistr | Operations on SUNdistr-class objects | 
| ais | Australian Institute of Sport data | 
| barolo | Price of Barolo wine | 
| blockDiag | vech, tr and other matrix operators | 
| coef-method | Coefficients of objects created by 'selm' | 
| coef.fitdistr.grouped | Methods for objects of class created by 'fitdistr.grouped' | 
| coef.mselm | Coefficients of objects created by 'selm' | 
| coef.selm | Coefficients of objects created by 'selm' | 
| conditionalSECdistr | Skew-normal conditional distribution | 
| conditionalSUNdistr | Operations on SUNdistr-class objects | 
| 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 | 
| convertCSN2SUNpar | Conversion of CSN parameters to SUN parameters | 
| convertSN2SUNdistr | Convert a SN distribution into a SUN | 
| convolutionSUNdistr | Operations on SUNdistr-class objects | 
| cp2dp | Conversion between parametrizations of a skew-elliptical distribution | 
| 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 | 
| dsun | The Unified Skew-Normal (SUN) probability distribution | 
| dSymmModulated | Symmetry-modulated distributions | 
| duplicationMatrix | vech, tr and other matrix operators | 
| extractSECdistr | Extract the SEC error distribution from an object created by 'selm' | 
| fitdistr.grouped | Maximum-likelihood fitting of a univariate distribution from grouped data | 
| fitdistr.grouped-class | Methods for objects of class created by 'fitdistr.grouped' | 
| fitted-method | Residuals and fitted values from 'selm' fits | 
| fitted.fitdistr.grouped | Methods for objects of class created by 'fitdistr.grouped' | 
| 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 | 
| galton2alpha | Mapping of the (Galton-Bowley, Moors) measures to the (alpha, nu) parameters of a ST distribution | 
| galton_moors2alpha_nu | Mapping of the (Galton-Bowley, Moors) measures to the (alpha, nu) parameters of a ST distribution | 
| joinSUNdistr | Operations on SUNdistr-class objects | 
| logLik-method | Classes 'selm' and 'mselm' of objects created by function 'selm' | 
| logLik.fitdistr.grouped | Methods for objects of class created by 'fitdistr.grouped' | 
| makeSECdistr | Build a skew-elliptically contoured distribution | 
| makeSUNdistr | Build an object representing a SUN distribution | 
| marginalSECdistr | Affine transformations and marginals of a skew-elliptical distribution | 
| marginalSUNdistr | Operations on SUNdistr-class objects | 
| mean-method | Class '"SECdistrMv"' | 
| mean-method | Class '"SECdistrUv"' | 
| mean-method | Class '"SUNdistr"' and its methods | 
| mean.SUNdistr | Class '"SUNdistr"' and its methods | 
| 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 | 
| op2dp | Conversion between parametrizations of a skew-elliptical distribution | 
| overview-sn | Package 'sn': overview of the structure and main commands | 
| plot-method | Plotting methods for classes 'SECdistrUv' and 'SECdistrMv' | 
| plot-method | Plotting method for class 'SUNdistr' | 
| plot-method | Plot an object generated by 'fitdistr.grouped' | 
| plot-method | Diagnostic plots for 'selm' fits | 
| plot-method | Classes 'selm' and 'mselm' of objects created by function 'selm' | 
| plot.fitdistr.grouped | Plot an object generated by 'fitdistr.grouped' | 
| 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 | 
| plot.SUNdistr | Plotting method for class 'SUNdistr' | 
| 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 | 
| print.fitdistr.grouped | Methods for objects of class created by 'fitdistr.grouped' | 
| 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 | 
| psun | The Unified Skew-Normal (SUN) probability distribution | 
| 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 | 
| 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 | 
| rsun | The Unified Skew-Normal (SUN) probability distribution | 
| rSymmModulated | Symmetry-modulated distributions | 
| 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 | Class '"SUNdistr"' and its methods | 
| show-method | Classes 'selm' and 'mselm' of objects created by function 'selm' | 
| show-method | Classes 'summary.SECdistrMv' and 'summary.SECdistrUv' | 
| show-method | Class 'summary.SUNdistr' | 
| show-method | Summarizing 'selm' fits | 
| show.SUNdistr | Class '"SUNdistr"' and its methods | 
| SN | Package 'sn': overview, background and history | 
| 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 | 
| spread.grouped | Spreading grouped data over intervals | 
| 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 | Summary of a SUN distribution object | 
| summary-method | Summarizing 'selm' fits | 
| summary.fitdistr.grouped | Methods for objects of class created by 'fitdistr.grouped' | 
| 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 | 
| summary.SUNdistr | Summary of a SUN distribution object | 
| summary.SUNdistr-class | Class 'summary.SUNdistr' | 
| SUNdistr-base | The Unified Skew-Normal (SUN) probability distribution | 
| SUNdistr-class | Class '"SUNdistr"' and its methods | 
| SUNdistr-op | Operations on SUNdistr-class objects | 
| sunMardia | The Unified Skew-Normal (SUN) probability distribution | 
| sunMean | The Unified Skew-Normal (SUN) probability distribution | 
| sunVcov | The Unified Skew-Normal (SUN) probability distribution | 
| SymmModulatedDistr | Symmetry-modulated distributions | 
| T.Owen | Owen's function | 
| tr | vech, tr and other matrix operators | 
| vcov-method | Class '"SECdistrMv"' | 
| vcov-method | Class '"SUNdistr"' and its methods | 
| vcov-method | Classes 'selm' and 'mselm' of objects created by function 'selm' | 
| vcov.fitdistr.grouped | Methods for objects of class created by 'fitdistr.grouped' | 
| vcov.SUNdistr | Class '"SUNdistr"' and its methods | 
| vech | vech, tr and other matrix operators | 
| vech2mat | vech, tr and other matrix operators | 
| weights-method | Classes 'selm' and 'mselm' of objects created by function 'selm' | 
| wines | Piedmont wines data | 
| zeta | Function log(2 Phi(x)) and its derivatives |