This function is intended to be used to specify the formula.gl argument to
the gen model component specification function.
Group-level predictors and hierarchical centering are
not used by default, and they currently cannot be used in a model component that is sampled
together with another model component in the same Gibbs block.
glreg(
formula = NULL,
remove.redundant = FALSE,
Q0 = NULL,
data = NULL,
name = "",
e = parent.frame()
)a formula specifying the group-level predictors to be used within a model
component. If no data is supplied the group-level predictors are derived as
group-level means from the unit-level data passed as data argument to
create_sampler or generate_data.
whether redundant columns should be removed from the design matrix.
Default is FALSE.
prior precision matrix for the group-level effects. The default is a zero matrix corresponding to a noninformative improper prior.
group-level data frame in which the group-level variables specified in
formula are looked up.
the name of the model component. This name is used in the output of the
MCMC simulation function MCMCsim. By default this name will be
the name of the corresponding generic random effects component appended by '_gl'.
for internal use only.
An object with precomputed quantities for sampling from prior or conditional posterior distributions for this model component. Only intended for internal use by other package functions.