# One-inflated generalized beta of the first kind (GB1)) distribution

### Description

These functions perform probabilistic analysis as well as random sampling on one-inflated GB1 distribution.

### Usage

1 2 3 4 5 6 7 | ```
doigbeta(x, shape0, shape1, shape2, p1, log=FALSE)
poigbeta(q, shape0, shape1, shape2, p1, lower.tail = TRUE, log.p = FALSE)
qoigbeta(p, shape0, shape1, shape2, p1, lower.tail = TRUE, log.p = FALSE)
roigbeta(n, shape0, shape1, shape2, p1)
ecoigbeta(x, shape0, shape1, shape2, p1)
moigbeta(order, shape0, shape1, shape2, p1)
tloigbeta(shape0, shape1, shape2, p1)
``` |

### Arguments

`x, q` |
vector of quantiles. |

`p` |
vector of probabilities. |

`n` |
number of observations. If |

`p1, shape0, shape1, shape2` |
shape parameters. |

`order` |
order of the raw moment. |

`log, log.p` |
logical; if |

`lower.tail` |
logical; if |

### Details

`d,p,q,ec,m,tl`

-`oigbeta`

functions computes the density function,
the distribution function, the quantile function, the exposure curve function,
raw moments and total loss of the one-inflated GB1 distribution.
`roigbeta`

generates random variates of this distribution.

### Value

A numeric value or a vector.

### Author(s)

Dutang Christophe

### See Also

`mbbefd-distr`

and `oidistribution`

.

### Examples

1 | ```
#TODO
``` |

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