priors: Prior distributions and options

In survextrap: Bayesian Flexible Parametric Survival Modelling and Extrapolation

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

survextrap.

survextrap documentation built on June 10, 2025, 5:11 p.m.