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Repeated measures model class

A `RepeatedMeasuresModel`

object represents
a model fitted to data with multiple measurements per subject. The
object comprises data, fitted coefficients, covariance parameters,
design matrix, error degrees of freedom, and between- and within-subjects
factor names for a repeated measures model. You can predict model
responses using the `predict`

method and generate
random data at new design points using the `random`

method.

You can fit a repeated measures model using `fitrm(t,modelspec)`

.

anova | Analysis of variance for between-subject effects |

epsilon | Epsilon adjustment for repeated measures anova |

grpstats | Compute descriptive statistics of repeated measures data by group |

manova | Multivariate analysis of variance |

margmean | Estimate marginal means |

mauchly | Mauchly’s test for sphericity |

multcompare | Multiple comparison of estimated marginal means |

plot | Plot data with optional grouping |

plotprofile | Plot expected marginal means with optional grouping |

predict | Compute predicted values given predictor values |

random | Generate new random response values given predictor values |

ranova | Repeated measures analysis of variance |

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