Description Usage Arguments Details Value Author(s) See Also Examples

Logarithm of L, evaluated at specific mu and eta

1 | ```
logL(mu, eta, y, sig, sig_prior = 2, Z = 1.96)
``` |

`mu` |
a numeric entry with the value of mu where the expression will be evaluated |

`eta` |
a numeric entry with the value of eta where the expression will be evaluated |

`y` |
a vector of length n (n=number of studies) representing the effect (standardized mean difference) |

`sig` |
a vector of length n (n=number of studies) representing the corresponding sampling standard deviation sqrt(variance) |

`sig_prior` |
a numeric entry representing the standard deviation's prior; default: 2 |

`Z` |
a numeric entry representing the Z value; default: 1.96 |

This is an auxiliary function to calculate the L distribution
in `mass`

, which is called to compute the Bayes Factor by `BFbias`

the value of L evaluated at mu and eta

Aldo Cordova-Palomera

1 2 3 |

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