`R/distributions.R`

`weibullNMA.Rd`

Density, distribution function, hazards, quantile function and random generation for the Weibull distribution when parameterized for network meta-analysis.

dweibullNMA(x, a0, a1 = FALSE, log = FALSE) pweibullNMA(q, a0, a1, lower.tail = TRUE, log.p = FALSE) qweibullNMA(p, a0, a1, lower.tail = TRUE, log.p = FALSE) rweibullNMA(n, a0, a1) hweibullNMA(n, a0, a1, log = FALSE) HweibullNMA(n, a0, a1, log = FALSE) rmst_weibullNMA(t, a0, a1, start = 0) mean_weibullNMA(a0, a1)

x, q | Vector of quantiles |
---|---|

a0 | Intercept of reparameterization of the Weibull distribution. |

a1 | Slope of the reparameterization of the Weibull distribution. |

log, log.p | logical; if TRUE, probabilities p are given as log(p). |

lower.tail | logical; if TRUE (default), probabilities are \(P(X \le x)\), otherwise, \(P(X > x)\). |

p | Vector of probabilities |

n | Number of observations. If |

t | Vector of times for which restricted mean survival time is evaluated. |

start | Optional left-truncation time or times. The returned restricted mean survival will be conditional on survival up to this time. |

`dweibullNMA`

gives the density, `pweibullNMA`

gives the
distribution function, `qweibullNMA`

gives the quantile function,
`rweibullNMA`

generates random deviates, `HweibullNMA`

returns the
cumulative hazard and `hweibullNMA`

the hazard.