mvpostmix {DoseFinding} | R Documentation |

## Prior to posterior updating for a multivariate normal mixture

### Description

Calculate conjugate posterior mixture of multivariate normals with known covariance matrix

### Usage

```
mvpostmix(priormix, mu_hat, S_hat)
```

### Arguments

`priormix` |
Prior multivariate normal mixture given as a list of length 3. The first list entry contains the mixture weights, the second component the mean vectors and the third component of the list the covariance matrices. |

`mu_hat` |
estimated mean response for each dose |

`S_hat` |
estimated covariance matrix |

### Value

Returns a posterior multivariate normal mixture as a list of length 3, containing mixture weights, mean vectors and covariance matrices.

### Author(s)

Marius Thomas

### References

Bernardo, J. M., and Smith, A. F. (1994). Bayesian theory. John Wiley & Sons.

[Package

*DoseFinding*version 1.1-1 Index]