bootci_tvmb | R Documentation |

Part of the set of internal functions for estimating bootstrapped confidence intervals
for the mediation effect for a binary outcome when user argument `CI="boot"`

.

bootci_tvmb( treatment, t.seq, m, outcome, coeff_data, span = 0.75, replicates = 1000 )

`treatment` |
a vector indicating treatment group |

`t.seq` |
a vector of unique time points for each observation |

`m` |
matrix of mediator values in wide format |

`outcome` |
matrix of outcome values in wide format |

`coeff_data` |
a merged dataset of indirect and direct effects and CIs estimated
from |

`span` |
Numeric value of the span to be used for LOESS regression. Default = 0.75. |

`replicates` |
number of replicates for bootstrapping CIs. Default = 1000. |

`timeseq` |
time points of estimation |

`alpha_hat` |
time-varying treatment effect on the mediator |

`CI.lower.a` |
CI lower limit for estimated coefficient alpha_hat |

`CI.upper.a` |
CI upper limit for estimated coefficient alpha_hat |

`gamma_hat` |
time-varying treatment effect on the outcome (direct effect) |

`CI.lower.g` |
CI lower limit for estimated coefficient gamma_hat |

`CI.upper.g` |
CI upper limit for estimated coefficient gamma_hat |

`beta_hat` |
time-varying effect of the mediator on the outcome |

`CI.lower.b` |
CI lower limit for estimated coefficient beta_hat |

`CI.upper.b` |
CI upper limit for estimated coefficient beta_hat |

`tau_hat` |
time-varying treatment effect on outcome (total effect) |

`CI.lower.t` |
CI lower limit for estimated coefficient tau_hat |

`CI.upper.t` |
CI upper limit for estimated coefficient tau_hat |

`medEffect` |
time varying mediation effect |

`CI.lower` |
CI lower limit for medEffect |

`CI.upper` |
CI upper limit for medEffect |

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