calc.node.inla.glm: Fit a given regression using INLA

In abn: Modelling Multivariate Data with Additive Bayesian Networks

Fit a given regression using INLA

Description

Internal wrapper to INLA and are called from fitAbn.bayes and buildScoreCache.bayes.

Usage

calc.node.inla.glm(
  child.loc,
  dag.m.loc,
  data.df.loc,
  data.dists.loc,
  ntrials.loc,
  exposure.loc,
  compute.fixed.loc,
  mean.intercept.loc,
  prec.intercept.loc,
  mean.loc,
  prec.loc,
  loggam.shape.loc,
  loggam.inv.scale.loc,
  verbose.loc
)

Arguments

child.loc	index of current child node.
dag.m.loc	dag as matrix.
data.df.loc	data df,
data.dists.loc	list of distributions.
ntrials.loc	rep(1,dim(data.df)[1]).
exposure.loc	rep(1,dim(data.df)[1]).
compute.fixed.loc	TRUE.
mean.intercept.loc	the prior mean for all the Gaussian additive terms for each node. INLA argument control.fixed=list(mean.intercept=...) and control.fixed=list(mean=...).
prec.intercept.loc	the prior precision for all the Gaussian additive term for each node. INLA argument control.fixed=list(prec.intercept=...) and control.fixed=list(prec=...).
mean.loc	the prior mean for all the Gaussian additive terms for each node. INLA argument control.fixed=list(mean.intercept=...) and control.fixed=list(mean=...). Same as mean.intercept.loc.
prec.loc	the prior precision for all the Gaussian additive term for each node. INLA argument control.fixed=list(prec.intercept=...) and control.fixed=list(prec=...). Same as prec.intercept.loc.
loggam.shape.loc	the shape parameter in the Gamma distribution prior for the precision in a Gaussian node. INLA argument control.family=list(hyper = list(prec = list(prior="loggamma",param=c(loggam.shape, loggam.inv.scale)))).
loggam.inv.scale.loc	the inverse scale parameter in the Gamma distribution prior for the precision in a Gaussian node. INLA argument control.family=list(hyper = list(prec = list(prior="loggamma",param=c(loggam.shape, loggam.inv.scale)))).
verbose.loc	FALSE to not print additional output.

Value

If INLA failed, FALSE or an error is returned. Otherwise, the direct output from INLA is returned.

See Also

Other Bayes: buildScoreCache(), calc.node.inla.glmm(), fitAbn(), getmarginals()

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