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| sn-package | Package 'sn': overview |
| affineTransSECdistr | Affine transformations and marginals of a skew-elliptical distribution |
| ais | Australian Institute of Sport data |
| barolo | Price of Barolo wine |
| coef-method | Classes '"selm"' and '"mselm"' of objects created by function 'selm' |
| conditionalSECdistr | Skew-normal conditional distribution |
| 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 |
| dp2cp | Conversion between parametrizations of a skew-elliptical distribution |
| dsc | Skew-Cauchy Distribution |
| dsn | Skew-Normal Distribution |
| dst | Skew-t Distribution |
| fitted-method | Classes '"selm"' and '"mselm"' of objects created by function 'selm' |
| frontier | Simulated sample from a skew-normal distribution |
| logLik-method | Classes '"selm"' and '"mselm"' of objects created by function 'selm' |
| makeSECdistr | Build a skew-elliptically contoured distribution |
| marginalSECdistr | Affine transformations and marginals of a skew-elliptical 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 |
| 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 |
| pmsc | Multivariate skew-t distribution and skew-Cauchy distribution |
| pmsn | Multivariate skew-normal distribution |
| pmst | Multivariate skew-t distribution and skew-Cauchy distribution |
| psc | Skew-Cauchy Distribution |
| psn | Skew-Normal Distribution |
| pst | Skew-t Distribution |
| Qpenalty | Penalty function for log-likelihood of 'selm' models |
| qsc | Skew-Cauchy Distribution |
| qsn | Skew-Normal Distribution |
| qst | Skew-t Distribution |
| residuals-method | Classes '"selm"' and '"mselm"' of objects created by function 'selm' |
| rmsc | Multivariate skew-t distribution and skew-Cauchy distribution |
| rmsn | Multivariate skew-normal distribution |
| rmst | Multivariate skew-t distribution and skew-Cauchy distribution |
| rsc | Skew-Cauchy Distribution |
| rsn | Skew-Normal Distribution |
| rst | Skew-t Distribution |
| 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': 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 |
| 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 |
| T.Owen | Owen's function |
| vcov-method | Classes '"selm"' and '"mselm"' of objects created by function 'selm' |
| wines | Piedmont wines data |
| zeta | Function 'log(2*pnorm(x))' and its derivatives |