student {bayesforecast} | R Documentation |
Define a t student prior distribution
Description
student(mu,sd)
Usage
student(mu = 0, sd = 1, df = 5)
Arguments
mu |
the location parameter mu |
sd |
the standard deviation parameter sigma |
df |
the degree freedom parameter df |
Details
Define a t student prior distribution using the hyper parameters mu, sigma and df as degree freedom, by default a standard t-student(0,1,5) distribution with 5 degree freedom is return.
Value
a numerical vector interpreted as a prior in Stan
[Package bayesforecast version 1.0.5 Index]