makebugsGroup: Make BUGS model from fitted DAG with grouping

In abn: Modelling Multivariate Data with Additive Bayesian Networks

Make BUGS model from fitted DAG with grouping

Description

Make BUGS model from fitted DAG with grouping

Usage

makebugsGroup(
  dag,
  data.dists,
  stderrors,
  group.var,
  mu,
  betas,
  sigma,
  sigma_alpha
)

Arguments

dag	named adjacency matrix representing the DAG. Names correspond to node names.
data.dists	list of node distributions.
stderrors	a list named by the node names containing for each element a matrix with the nodes' standard errors
group.var	only applicable for mixed models and gives the column name in data.df of the grouping variable (which must be a factor denoting group membership).
mu	Standard deviation of fixed effects.
betas	Coefficients/slopes of fixed effects .
sigma	variance of random effects.
sigma_alpha	variance-covariance matrix corresponding to covariances output from mblogit.

Value

Bugs model returned as stdout.

See Also

simulateAbn gauss_bugsGroup bern_bugsGroup categorical_bugsGroup pois_bugsGroup

abn documentation built on Nov. 3, 2023, 5:08 p.m.