bincorr2commonprob {bindata} | R Documentation |

## Convert Binary Correlation Matrix to Matrix of Joint Probabilities

### Description

Compute a matrix of common probabilities for a binary random vector from given marginal probabilities and correlations.

### Usage

```
bincorr2commonprob(margprob, bincorr)
```

### Arguments

`margprob` |
vector of marginal probabilities. |

`bincorr` |
matrix of binary correlations. |

### Value

The matrix of common probabilities. This has the probabilities that
variable `i`

equals 1 in element `(i,i)`

, and the joint
probability that variables `i`

and `j`

both equal 1 in element
`(i,j)`

(if `i \ne j`

).

### Author(s)

Friedrich Leisch

### References

Friedrich Leisch, Andreas Weingessel and Kurt Hornik (1998). On the generation of correlated artificial binary data. Working Paper Series, SFB “Adaptive Information Systems and Modelling in Economics and Management Science”, Vienna University of Economics.

### See Also

`commonprob2sigma`

,
`simul.commonprob`

.

[Package

*bindata*version 0.9-21 Index]