Description Usage Arguments Details Value Author(s) References Examples

Fit "within-between" and several other regression variants for panel data via generalized estimating equations.

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`formula` |
Model formula. See details for crucial
info on |

`data` |
The data, either a |

`id` |
If |

`wave` |
If |

`cor.str` |
Any correlation structure accepted by |

`use.wave` |
Should the wave be included as a predictor? Default is FALSE. |

`wave.factor` |
Should the wave variable be treated as an unordered factor instead of continuous? Default is FALSE. |

`min.waves` |
What is the minimum number of waves an individual must
have participated in to be included in the analysis? Default is |

`family` |
Use this to specify GLM link families. Default is |

`weights` |
If using weights, either the name of the column in the data that contains the weights or a vector of the weights. |

`offset` |
this can be used to specify an |

`...` |
Additional arguments provided to |

See the documentation for `wbm()`

for many details on formula syntax and
other arguments.

An `asym_gee`

object, which inherits from `wbgee`

and `geeglm`

.

Jacob A. Long

Allison, P. D. (2019). Asymmetric fixed-effects models for panel data.
*Socius*, *5*, 1-12. https://doi.org/10.1177/2378023119826441

McNeish, D. (2019). Effect partitioning in cross-sectionally clustered data
without multilevel models. *Multivariate Behavioral Research*,
Advance online publication. https://doi.org/10.1080/00273171.2019.1602504

McNeish, D., Stapleton, L. M., & Silverman, R. D. (2016). On the unnecessary
ubiquity of hierarchical linear modeling. *Psychological Methods*, *22*,
114-140. https://doi.org/10.1037/met0000078

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