Hello everybody,

I am modeling the effect of turbidity over plankton and the dataset used to is an output of a meta-analysis. I did not manage to model through metafor R package since my model has both a random factor and non-normally distributed data and residuals, so glmm in lmer4 seems to be a way to do so.

I have been trying to fit this glmm model with lme4 package with a dataset that has several negative values at the response variable (yi).

My dataset is composed by ID, the studies identification, yi, the mean effect size, and vi, the variance of effect size.

HereĀ“s how it looks like:

ID | yi | vi |
---|---|---|

1 | 0.316595198 | 0.04821567 |

1 | -0.177368318 | 0.04780631 |

11 | -0.981140624 | 0.08721714 |

11 | -0.922435838 | 0.08827934 |

11 | -0.786731923 | 0.16784691 |

11 | -1.086341767 | 0.11456009 |

11 | -1.410975938 | 0.15027751 |

11 | -1.141576723 | 0.11595849 |

11 | -0.737618762 | 0.08194444 |

11 | -0.690005397 | 0.08336584 |

This is a sample of the data. the whole set looks like this:

What is the correct family to indicate at this model?

yi mean is -1,04

Also: How can I make this model run since there seems not to have a way to make glmer handle negative values?