# KAPPA: Kappa Distribution In FAdist: Distributions that are Sometimes Used in Hydrology

## Description

Density, distribution function, quantile function and random generation for the kappa distribution with shape and scale parameters equal to `shape` and `scale`, respectively.

## Usage

 ```1 2 3 4``` ```dkappa(x,shape=1,scale=1,log=FALSE) pkappa(q,shape=1,scale=1,lower.tail=TRUE,log.p=FALSE) qkappa(p,shape=1,scale=1,lower.tail=TRUE,log.p=FALSE) rkappa(n,shape=1,scale=1) ```

## Arguments

 `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 P[X <= x],otherwise, P[X > x].

## Details

If X is a random variable distributed according to a kappa distribution, it has density
f(x) = shape/scale*(shape+(x/scale)^shape)^(-(shape+1)/shape)

## Value

`dkappa` gives the density, `pkappa` gives the distribution function, `qkappa` gives the quantile function, and `rkappa` generates random deviates.

## Examples

 ```1 2 3``` ```x <- rkappa(1000,12,10) hist(x,freq=FALSE,col='gray',border='white') curve(dkappa(x,12,10),add=TRUE,col='red4',lwd=2) ```

### Example output ```
```

FAdist documentation built on April 17, 2020, 1:24 a.m.