Description Usage Arguments Value References Examples

View source: R/calc_mixmoments.R

This function uses the method of moments to calculate the expected mean, standard deviation, skewness,
standardized kurtosis, and standardized fifth and sixth cumulants for a continuous mixture variable based on the distributions
of its components. The result can be used as input to `find_constants`

or for comparison to a
simulated mixture variable from `contmixvar1`

, `corrvar`

, or
`corrvar2`

. See the **Expected Cumulants and Correlations for Continuous Mixture Variables** vignette
for equations of the cumulants.

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`mix_pis` |
a vector of mixing probabilities that sum to 1 for the component distributions |

`mix_mus` |
a vector of means for the component distributions |

`mix_sigmas` |
a vector of standard deviations for the component distributions |

`mix_skews` |
a vector of skew values for the component distributions |

`mix_skurts` |
a vector of standardized kurtoses for the component distributions |

`mix_fifths` |
a vector of standardized fifth cumulants for the component distributions; keep NULL if using |

`mix_sixths` |
a vector of standardized sixth cumulants for the component distributions; keep NULL if using |

A vector of the mean, standard deviation, skewness, standardized kurtosis, and standardized fifth and sixth cumulants

Please see references for `SimCorrMix`

.

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