The functions described on this page are used to specify the prior distributions for the parameters in a survextrap model.

## Usage

```
p_normal(location = 0, scale = 2.5)
p_t(location = 0, scale = 2.5, df = 1)
p_beta(shape1 = 1, shape2 = 1)
p_gamma(shape = 2, rate = 1)
```

## Arguments

- location
Prior location. For the normal distribution, this is the mean. Defaults to 0

- scale
Prior scale. For the normal distribution, this is the standard deviation. Defaults to 2.5.

- df
Prior degrees of freedom (only for Student t distribution).

- shape1
First shape parameter (for Beta distribution, defaults to 1).

- shape2
Second shape parameter (for Beta distribution, defaults to 1).

- shape
Shape parameter (for Gamma distribution, defaults to 2).

- rate
Rate parameter (for Gamma distribution, defaults to 1).

## Value

A named list to be used internally by the `survextrap`

model fitting functions.