# Calculates a set of baseline logits from a set of probabilities

### Description

Calculates a set of *k-1* baseline logits *\log(p_1/p_k), ..., \log(p_{k-1}/p_k)*, from a set of probabilities *p_1,...,p_k*.

### Usage

1 | ```
baselogit(probs)
``` |

### Arguments

`probs` |
A set of probabilities, |

### Details

This function is used by a number of other functions in the package, for example, to provide a parameterization for maximization and for importance sampling in the single *f* model.

### Value

`baselogit` |
Returns the set of |

### Author(s)

Jon Wakefield (jonno@u.washington).

### References

Wakefield, J. (2010). Bayesian methods for examining Hardy-Weinberg equilibrium. Biometrics; Vol 66:257-65

### See Also

`invbaselogit`

### Examples

1 |