Models on clusters of correlated data

bumpingr | Run a local bump-hunting algorithm |

clustermodelr | Model clustered, correlated data |

clust.lm | dispatch to one of the implemented cluster methods |

combiner | Run lm on each column in a cluster and combine p-values with... |

combiner.missing | Run lm on each column in a cluster and combine p-values with... |

expand.covs | convert data to long format so that 'covs' is replicated once... |

geer | Use Generalized Estimating Equations to assign significance... |

gen.correlated | generate correlated data |

lmr | Run lm on a single site |

make.correlated | make existing data correlated |

mclust.lm | dispatch to one of the implemented cluster methods.... |

mclust.lm.X | dispatch to one of the implemented cluster methods.... |

mixed_modelr | Use mixed-effects model in lme4 syntax to associate a... |

nb.mixed.count | Fit a mixed effect model with lme4 syntax on count data using... |

read.bin | used to communicate quickly from python |

readX | read a matrix of numeric values with the first column as the... |

skatr | Use SKAT to associate a covariate with a cluster of data. |

stouffer_liptak.combine | Perform the stouffer-liptak correction on a set of correlated... |

zscore.combine | Combine p-values by the z-score correction. |

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