N {bage} | R Documentation |
Normal Prior
Description
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)
Arguments
s |
Scale for the standard deviation.
Default is |
Details
Argument s
controls the size of errors. Smaller values
for s
tend to give more tightly clustered estimates.
Value
An object of class "bage_prior_norm"
.
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.
See Also
-
NFix()
Similar toN()
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 -
Mathematical Details vignette
Examples
N()
N(s = 0.5)