AcceptAffin {CooccurrenceAffinity} | R Documentation |

## Calculates the "Acceptability Function" used in defining Blaker's (2000) Acceptability Interval and computing the latter in the function AcceptAffCI().

### Description

This function calculates the "Acceptability Function" of Blaker (2000, Thm.1, p.785) for the log-odds parameter alpha in the Extended Hypergeometric distribution.

### Usage

```
AcceptAffin(x, marg, alph)
```

### Arguments

`x` |
integer co-occurrence count that should properly fall within the closed interval [max(0,mA+mB-N), min(mA,mB)] |

`marg` |
a 3-entry integer vector (mA,mB,N) consisting of the first row and column totals and the table total for a 2x2 contingency table |

`alph` |
a vector of (one or more) real-valued "alpha" values, where alpha is the log-odds parameter in the Extended Hypergeometric distribution |

### Details

This function calculates the "Acceptability Function" of Blaker (2000, Thm.1, p.785) for the log-odds parameter alpha in the Extended Hypergeometric distribution, a function from which the "Acceptability Interval" is calculated by another CooccurrenceAffinity package function AcceptAffCI().

### Value

This function returns the "Acceptability Function" that is later used by another function AcceptAffCI() to compute "Acceptability Interval".

### Author(s)

Eric Slud

### References

Blaker, H. (2000), â€śConfidence curves and improved exact confidence intervals for discrete distributions", Canadian Journal of Statistics 28, 783-798.

*CooccurrenceAffinity*version 1.0 Index]