PsiLFC | R Documentation |

Computes the optimal effect size estimate and credible intervals if needed.

```
PsiLFC(
A,
B,
prior = EmpiricalBayesPrior(A, B),
normalizeFun = CenterMedian,
cre = FALSE,
verbose = FALSE
)
```

`A` |
Vector of counts from condition A |

`B` |
Vector of counts from condition B |

`prior` |
Vector of length 2 of the prior parameters |

`normalizeFun` |
Function to normalize the obtained effect sizes |

`cre` |
Compute credible intervals as well? (can also be a vector of quantiles) |

`verbose` |
verbose status updates? |

Either a vector containing the estimates, or a data frame containing the credible interval as well

```
PsiLFC(rnorm(1000,200),rnorm(1000,100))
```

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