Use independent draws from a normal
distribution to model a main effect or interaction.
Typically used with variables other than
age or time, such as region or ethnicity,
where there is no natural ordering.
Usage
N(s = 1)
Value
An object of class "bage_prior_norm".
Arguments
s
Scale for the standard deviation.
Default is 1.
Mathematical details
$$\beta_j \sim \text{N}(0, \tau^2)$$
where \(\beta\) is the main effect or interaction.
Parameter \(\tau\)
has a half-normal prior
$$\tau \sim \text{N}^+(0, \mathtt{s}^2),$$
where s is provided by the user.
Details
Argument s controls the size of errors. Smaller values
for s tend to give more tightly clustered estimates.
See Also
NFix() Similar to N() but standard deviation
parameter is supplied rather than estimated from data
priors Overview of priors implemented in bage
set_prior() Specify prior for intercept,
main effect, or interaction