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A B C D E F L M O P Q R S T V W Z
| 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 | 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 |
| 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 |
| extractSECdistr | Extract the SEC error term from an object created by 'selm' |
| 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 |
| 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 |
| 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 |
| op2dp | Conversion between parametrizations of a skew-elliptical distribution |
| 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 |
| 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 |
| Qpenalty | Penalty function for log-likelihood of 'selm' models |
| 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 |
| 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 | 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 |
| SymmModulatedDistr | Symmetry-modulated distributions |
| T.Owen | Owen's function |
| 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 |
| 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 |