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.