priors {survextrap} | R Documentation |
Prior distributions and options
Description
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 with the prior distribution name and parameters, to be used internally by the survextrap
model fitting functions.
See Also
[Package survextrap version 1.0 Index]