cdfft {cdfquantreg} | R Documentation |

## The Family of Finite-Tailed Distributions

### Description

Density function, distribution function, quantile function, and random generation of variates for a specified cdf-quantile distribution.

### Usage

```
cdfft(q, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
pdfft(y, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
qqft(p, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
rqft(n, sigma, theta, fd, sd, mu = NULL, inner = TRUE, version)
```

### Arguments

`q` |
vector of quantiles. |

`sigma` |
vector of standard deviations. |

`theta` |
vector of skewness. |

`fd` |
A string that specifies the parent distribution. At the moment, only "arcsinh", "cauchit" and "t2" can be used. See details. |

`sd` |
A string that specifies the child distribution. At the moment, only "arcsinh", "cauchy" and "t2" can be used. See details. |

`mu` |
vector of means if 3-parameter case is used. |

`inner` |
A logic value that indicates if the inner ( |

`version` |
A string indicates that which version will be used. "V" is the tilt parameter function while "W" indicates the Jones Pewsey transformation. |

`y` |
vector of quantiles. |

`p` |
vector of probabilities. |

`n` |
Number of random samples. |

### Value

`pdfft`

gives the density, `rqft`

generates random variate, `qqft`

gives the quantile function, and `cdfft`

gives the cumulative density of specified distribution.

*cdfquantreg*version 1.3.1-2 Index]