LLOGIS | R Documentation |

Density, distribution function, quantile function and random generation for the log-logistic distribution with shape and scale parameters equal to `shape`

and `scale`

, respectively.

dllog(x,shape=1,scale=1,log=FALSE) pllog(q,shape=1,scale=1,lower.tail=TRUE,log.p=FALSE) qllog(p,shape=1,scale=1,lower.tail=TRUE,log.p=FALSE) rllog(n,shape=1,scale=1)

`x,q` |
vector of quantiles. |

`p` |
vector of probabilities. |

`n` |
number of observations. |

`shape` |
shape parameter. |

`scale` |
scale parameter. |

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

`lower.tail` |
logical; if TRUE (default), probabilities are |

If *Y* is a random variable distributed according to a logistic distribution (with location and scale parameters), then *X = exp(Y)* has a
log-logistic distribution with shape and scale parameters corresponding to the scale and location parameteres of *Y*, respectively.

`dllog`

gives the density, `pllog`

gives the distribution function, `qllog`

gives the quantile function, and `rllog`

generates random deviates.

`dlogis`

, `plogis`

, `qlogis`

, `rlogis`

x <- rllog(10,1,0) dllog(x,1,0) dlogis(log(x),0,1)/x

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