posterior_dist {ashr} | R Documentation |

## Compute Posterior

### Description

Return the posterior on beta given a prior (g) that is
a mixture of normals (class normalmix) and observation
`betahat ~ N(beta,sebetahat)`

### Usage

```
posterior_dist(g, betahat, sebetahat)
```

### Arguments

`g` |
a normalmix with components indicating the prior; works only if g has means 0 |

`betahat` |
(n vector of observations) |

`sebetahat` |
(n vector of standard errors/deviations of observations) |

### Details

This can be used to obt

### Value

A list, (pi1,mu1,sigma1) whose components are each k by n matrices where k is number of mixture components in g, n is number of observations in betahat

[Package

*ashr*version 2.2-63 Index]