Description Usage Arguments Value References See Also

View source: R/intercorr_cont_nb.R

This function calculates a `k_cont x k_nb`

intermediate matrix of correlations for the `k_cont`

continuous and
`k_nb`

Negative Binomial variables. It extends the method of Amatya & Demirtas (2015, doi: 10.1080/00949655.2014.953534) to
continuous variables generated using Headrick's fifth-order polynomial transformation and regular or zero-inflated NB variables.
Here, the intermediate correlation between Z1 and Z2 (where Z1 is the standard normal variable transformed using Headrick's fifth-order
or Fleishman's third-order method to produce a continuous variable Y1, and Z2 is the standard normal variable used to generate a
Negative Binomial variable via the inverse CDF method) is calculated by dividing the target correlation by a correction factor.
The correction factor is the product of the upper Frechet-Hoeffding bound on the correlation between a Negative Binomial variable and
the normal variable used to generate it and the power method correlation (described in Headrick & Kowalchuk, 2007,
doi: 10.1080/10629360600605065) between Y1 and Z1. The function is used in `intercorr`

and
`corrvar`

. This function would not ordinarily be called by the user.

1 2 3 |

`method` |
the method used to generate the |

`constants` |
a matrix with |

`rho_cont_nb` |
a |

`size` |
a vector of size parameters for the Negative Binomial variables (see |

`mu` |
a vector of mean parameters for the NB variables (*Note: either |

`p_zinb` |
a vector of probabilities of structural zeros (not including zeros from the NB distribution) for the zero-inflated NB variables
(see |

`nrand` |
the number of random numbers to generate in calculating the bound (default = 10000) |

`seed` |
the seed used in random number generation (default = 1234) |

a `k_cont x k_nb`

matrix whose rows represent the `k_cont`

continuous variables and columns represent the
`k_nb`

Negative Binomial variables

Please see references for `intercorr_cont_pois`

.

`find_constants`

,
`intercorr`

, `corrvar`

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