| affineTransSECdistr | Affine transformations and marginals of a skew-elliptical... |
| ais | Australian Institute of Sport data |
| barolo | Price of Barolo wine |
| coef.selm | Coefficients of objects created by 'selm' |
| conditionalSECdistr | Skew-normal conditional distribution |
| confint.selm | 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 |
| dmsn | Multivariate skew-normal distribution |
| dmst | Multivariate skew-t distribution and skew-Cauchy distribution |
| dp2cp | Conversion between parametrizations of a skew-elliptical... |
| dsc | Skew-Cauchy Distribution |
| dsn | Skew-Normal Distribution |
| dst | Skew-t Distribution |
| extractSECdistr | Extract the SEC error distribution from an object created by... |
| fitdistr.grouped | Maximum-likelihood fitting of a univariate distribution from... |
| fitdistr.grouped-class | Methods for objects of class created by 'fitdistr.grouped' |
| fournum | Four-number summary of a numeric vector |
| frontier | Simulated sample from a skew-normal distribution |
| galton_moors2alpha_nu | Mapping of the (Galton-Bowley, Moors) measures to the (alpha,... |
| makeSECdistr | Build a skew-elliptically contoured distribution |
| makeSUNdistr | Build an object representing a SUN distribution |
| matrix-op | vech, tr and other matrix operators |
| modeSECdistr | The mode of a skew-elliptically contoured (SEC) distribution |
| overview-sn | Package 'sn': overview of the structure and main commands |
| plot.fitdistr.grouped | Plot an object generated by 'fitdistr.grouped' |
| plot.SECdistr | Plotting methods for classes 'SECdistrUv' and 'SECdistrMv' |
| plot.selm | Diagnostic plots for 'selm' fits |
| plot.SUNdistr-method | Plotting method for class 'SUNdistr' |
| pprodt2 | The distribution of the product of two jointly normal or _t_... |
| predict.selm | Predict method for selm-class objects |
| profile.selm | Profile log-likelihood function of selm-class objects |
| Qpenalty | Penalty function for log-likelihood of 'selm' models |
| residuals.selm | Residuals and fitted values from 'selm' fits |
| sd | 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.fit | Fitting functions for 'selm' models |
| sn-package | Package 'sn': overview, background and history |
| sn-st.cumulants | Cumulants of univariate skew-normal and skew-t distributions |
| sn-st.info | Expected and observed Fisher information for SN and ST... |
| spread.grouped | Spreading grouped data over intervals |
| st.prelimFit | Compute preliminary estimates for a linear model with... |
| summary.SECdistr | Summary of a SEC distribution object |
| summary.SECdistr-class | Classes 'summary.SECdistrMv' and 'summary.SECdistrUv' |
| summary.selm | 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 |
| symm-modulated-distr | Symmetry-modulated distributions |
| T.Owen | Owen's function |
| wines | Piedmont wines data |
| zeta | Function log(2 Phi(x)) and its derivatives |
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