Function reference • ngvb

All functions

areal.plot(): Plot areal data

fitted(<ngvb.list>): Summary of the fitted values. Also returns the marginals of the fitted values if compute=TRUE in control.predictor of the inla object fit.

geo.plot(): Plot geostat data

jumpts: Time series with 2 jumps

mungeGibbs.mixing(<ngvb.list>): Process ngvb.list when method = "Gibbs". Produces a matrix with the samples of the mixing variables \(\mathbf{V}\).

mungeGibbs.ng(<ngvb.list>): Process ngvb.list when method = "Gibbs". Produces a matrix with the samples of the non-Gaussianity parameter \(\eta\).

ng.check(): Diagnostic checks for the latent Gaussianity assumption in R-INLA

ngvb.list-class ngvb.list: This class stores the output of the ngvb function.

ngvb(): Approximate inference of latent non-Gaussian models (LnGMs)

Orthodont: Data of an orthodontic study.

Orthodont: Data of an orthodontic study.

plot.gaussdiag(): Print method for "gaussdiag" class

plot(<ngvb.list>,<missing>): Plots several summaries of an ngvb.list object.

print(<ngvb.list>): Prints outputs of the ngvb.list object.

simulate(<ngvb.list>): Obtain samples from the fitted LnGM model parameters.

summary(<ngvb.list>): Produces summaries of the ngvb.list object.