Group Sequential Design

binomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for... |

eEvents | Expected number of events for a time-to-event study |

gsBinomialExact | 3.4: One-Sample Binomial Routines |

gsbound | 2.7: Boundary derivation - low level |

gsBoundCP | 2.5: Conditional Power at Interim Boundaries |

gsBoundSummary | 2.8: Bound Summary and Z-transformations |

gsCP | 2.4: Conditional and Predictive Power, Overall and... |

gsDensity | 2.6: Group sequential design interim density function |

gsDesign | 2.1: Design Derivation |

gsDesign-package | 1.0 Group Sequential Design |

gsProbability | 2.2: Boundary Crossing Probabilities |

nNormal | Normal distribution sample size (2-sample) |

normalGrid | 3.1: Normal Density Grid |

nSurv | Advanced time-to-event sample size calculation |

nSurvival | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |

plot.gsDesign | 2.3: Plots for group sequential designs |

sfexp | 4.3: Exponential Spending Function |

sfHSD | 4.1: Hwang-Shih-DeCani Spending Function |

sfLDPocock | 4.4: Lan-DeMets Spending function overview |

sfLinear | 4.6: Piecewise Linear and Step Function Spending Functions |

sflogistic | 4.7: Two-parameter Spending Function Families |

sfpoints | 4.5: Pointwise Spending Function |

sfpower | 4.2: Kim-DeMets (power) Spending Function |

sfTDist | 4.8: t-distribution Spending Function |

sfTruncated | 4.7a: Truncated, trimmed and gapped spending functions |

spendingfunctions | 4.0: Spending function overview |

ssrCP | Sample size re-estimation based on conditional power |

testutils | 6.0 Utility functions to verify variable properties |

Wang-Tsiatis-bounds | 5.0: Wang-Tsiatis Bounds |

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