weightfunctions {BayesTools} | R Documentation |

## Weight functions

### Description

Marginal density, marginal distribution function, marginal quantile function and random generation for weight functions.

### Usage

```
mdone.sided(x, alpha = NULL, alpha1 = NULL, alpha2 = NULL, log = FALSE)
mdtwo.sided(x, alpha, log = FALSE)
mdone.sided_fixed(x, omega, log = FALSE)
mdtwo.sided_fixed(x, omega, log = FALSE)
rone.sided(n, alpha = NULL, alpha1 = NULL, alpha2 = NULL)
rtwo.sided(n, alpha)
rone.sided_fixed(n, omega)
rtwo.sided_fixed(n, omega)
mpone.sided(
q,
alpha = NULL,
alpha1 = NULL,
alpha2 = NULL,
lower.tail = TRUE,
log.p = FALSE
)
mptwo.sided(q, alpha, lower.tail = TRUE, log.p = FALSE)
mpone.sided_fixed(q, omega, lower.tail = TRUE, log.p = FALSE)
mptwo.sided_fixed(q, omega, lower.tail = TRUE, log.p = FALSE)
mqone.sided(
p,
alpha = NULL,
alpha1 = NULL,
alpha2 = NULL,
lower.tail = TRUE,
log.p = FALSE
)
mqtwo.sided(p, alpha, lower.tail = TRUE, log.p = FALSE)
mqone.sided_fixed(p, omega, lower.tail = TRUE, log.p = FALSE)
mqtwo.sided_fixed(p, omega, lower.tail = TRUE, log.p = FALSE)
```

### Arguments

`x` , `q` |
vector or matrix of quantiles. |

`alpha` |
vector or matrix with concentration parameters for the Dirichlet distribution for a monotonic one.sided or a two.sided weight function. |

`alpha1` |
vector or matrix with concentration parameters for the Dirichlet distribution for the expected direction of non-monotonic one.sided of weight function. |

`alpha2` |
vector or matrix with concentration parameters for the Dirichlet distribution for the unexpected direction of non-monotonic one.sided of weight function. |

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

`omega` |
vector or matrix of fixed probabilities for a one.sided or a two.sided weight function. |

`n` |
number of observations. |

`lower.tail` |
logical; if |

`p` |
vector of probabilities. |

### Value

`mdone.sided`

, `mdtwo.sided`

, `mdone.sided_fixed`

,
and `mdtwo.sided_fixed`

give the marginal density,
`mpone.sided`

, `mptwo.sided`

, `mpone.sided_fixed`

,
and `mptwo.sided_fixed`

give the marginal distribution function,
`mqone.sided`

, `mqtwo.sided`

, `mqone.sided_fixed`

,
and `mqtwo.sided_fixed`

give the marginal quantile function,
and `rone.sided`

, `rtwo.sided`

, `rone.sided_fixed`

,
and `rtwo.sided_fixed`

generate random deviates.

### Examples

```
# draw samples from a two-sided weight function
rtwo.sided(10, alpha = c(1, 1))
# draw samples from a monotone one-sided weight function
rone.sided(10, alpha = c(1, 1, 1))
# draw samples from a non-monotone one-sided weight function
rone.sided(10, alpha1 = c(1, 1), alpha2 = c(1, 1))
```

*BayesTools*version 0.2.17 Index]