Practical Multilevel Modeling

cdata.ex | Clustered dataset for centering example |

engage | Student engagement dataset (complete data). |

engage.miss | Student engagement dataset (with missing data). |

glance.CR2 | Glance at goodness-of-fit statistics |

group_center | Group-mean center a variable |

group_mean | Computes the group mean of a variable |

hdp | Hospital, doctor, patient (hdp) dataset |

Htest | Test for homoskedasticity at level one |

MatSqrtInverse | Compute the inverse square root of a matrix |

nmiss | Amount of missing data per variable |

pipe | Pipe operator |

pisa2012 | USA data from PISA 2012 |

ri_test1 | Sample dataset 1 for testing the likelihood ratio test |

ri_test2 | Sample dataset 2 for testing the likelihood ratio test (LRT) |

robust_mixed | Cluster robust standard errors with degrees of freedom... |

satdf | Compute Satterthwaite degrees of freedom |

sch29 | Data from 29 schools (based on the NELS dataset) used for... |

suspend | Suspension data from Virginia |

thai | Thai data from PISA |

thai.sm | Thai data from PISA (reduced) |

tidy.CR2 | Tidy a CR2 object |

wide | Wide dataset to be used for growth modeling |

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