ABC_P2_pois {ABCp2} | R Documentation |

## ABC Estimation of P2 for Poisson Distribution

### Description

This function fits offspring data to the Poisson distribution and estimates P2 based on that distribution and the specificed priors.

### Usage

```
ABC_P2_pois(n, ObsMean, L_Lo, L_Hi, delta, iter)
```

### Arguments

`n` |
the number of observations. |

`ObsMean` |
the observed mean number of offspring sired by the second male. |

`L_Lo` |
minimum lambda value for the distribution. |

`L_Hi` |
maximum lambda value for the distribution. |

`delta` |
maximum allowed difference between the estimated mean and observed mean number of offspring produced by the second male. |

`iter` |
number of iterations used to build the posterior. |

### Value

`posterior` |
Posterior distribution of P2 values. |

`Lambda` |
Vector of values for the lambda parameter. |

### Author(s)

M. Catherine Duryea, Andrew D. Kern, Robert M. Cox, and Ryan Calsbeek

### Examples

```
#Fit the Lambda hyperprior to a distribution of offspring.
data(fungus)
fit_dist_pois(fungus$Total_Offspring)
#Use hyperiors and priors calculated from the data to estimate P2.
#Plot the saved distributions for the Lambda parameter.
#Adjust, if necessary.
fungus_P2<-ABC_P2_pois(12, 9.9, 13.24, 15.42, 0.1, 100)
hist(fungus_P2$posterior)
hist(fungus_P2$Lambda)
```

[Package

*ABCp2*version 1.2 Index]