R: Fit a given regression using INLA

calc.node.inla.glmm {abn}

R Documentation

Fit a given regression using INLA

Description

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

Usage

calc.node.inla.glmm(
  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.

Fit a given regression using INLA

Description

Usage

Arguments

Value

See Also