View source: R/SpecPrior-generators.R
| Components | R Documentation |
In normal usage, it is better to accept the default prior for the components than to specify it explicitly. End users are therefore unlikely to need this function.
Components(scale = HalfT())
scale |
An object of class |
A Mix prior treats an interaction as a mixture of
normal distributions. The means for these normal distributions
are formed by multiplying a component for each dimension
other than the 'along' dimension (typically the time dimension).
Each element of these components has a normal prior with mean
0 and standard deviation scaleComponent. The prior
for scaleComponent can be set using the scale
argument.
Let s be the standard deviation of data y,
or of log(y) in the case of a Poisson model without
exposure. Let m be the mult argument. Then
the default value for scale parameter in the half-t distribution is
| Model | Default |
| Poisson with exposure | m 0.5 |
| Poisson without exposure | ms 0.5 |
| binomial | m 0.5 |
| normal | ms 0.5
|
An object of class Components.
Mixture priors are specified using Mix.
The weights in a mixture prior are specified using
Weights.
Components()
## A tighter prior on 'scaleComponent'
Components(scale = HalfT(scale = 0.25))
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