
Specify a random effect
re.RdThis function is meant to be called only in the formula argument of fibre().
Arguments
- groups
A character or factor column containing the grouping variable for the random effect
- hyper
Hyper parameters as a list. Specify the prior distribution for
engine = INLAmodels here. Default is a penalised complexity prior with 10% prior probability density greater than 1, which tend to work well for standardised Gaussian responses and Binomial responses.- label
An optional label used to identify the random effect later The default is a label generated from the expression in
phyf- standardise
Should the
pfcobject be standardised based on it's implied typical variance for terminal nodes? Default:TRUE. This helps random effects to be comparable to each other.