summary: Summary for a INLA fit

In andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Description

Takes a fitted inla or surv.inla object produced by inla or surv.inla and produces a summary from it.

Usage

## S3 method for class 'inla'
summary(object,...)
## S3 method for class 'summary.inla'
print(x,...)

Arguments

object	a fitted inla object as produced by inla.
x	a summary.inla object produced by summary.inla.
...	other arguments.

Details

Posterior mean and standard deviation (together with quantiles or cdf) are printed for the fixed effects in the model.

For the random effects the function summary() prints the posterior mean and standard deviations for the hyperparameters

Value

summary.inla returns an object of call summaryinla, a list with components:

call	the component from object.
fixed	the component from object.
random	the component from object.
neffp	the component from object.
linear.predictor	the component from object.
family	the component from object.

Author(s)

Sara Martino

See Also

inla

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.