methods_rfhcFitSummary: Plot and Print rfhcFitSummary-objects.

In antiphon/rfhc: Random field + Hardcore Gibbs model

Description

Plot and print the result object of function summary.rfhcFit.

Usage

## S3 method for class 'rfhcFit'
summary(x, burnin=1, thin=1, Rburnin=1, Rthin=1, paradj=1, Radj=1, ...)

## S3 method for class 'rfhcFitSummary'
print(x, ...)
## S3 method for class 'rfhcFitSummary'
plot(x, ..., maxcols=4)

Arguments

x	in ‘summary’: Result of fitRFHC, see rfhcFit. Otherwise the result of the ‘summary’-function.
maxcols	Adjust plot layout. Maximum number of columns.
burnin, thin, Rburnin, Rthin, paradj, Radj	See rfhcFit.
...	In plot : Additional parameteres passed on to the function plot.im that plots the field. E.g. colors, ribbon options. Others: not used.

Details

Write R=Robs union Rs, where Robs is the dataholding R's and Rs is predicted outside data.

Print: Prints some useful info.

Summary object contains the following general elements:

$parameters: the hyperparameters and beta given for the fitting
$options: options used in the fitting
$sampling: sampling scheme (burn-in, thinning)
$estimated: names of estimated hyper parameters.

For each estimated hyperparameter, say tau, the following sub-elements are present:

$summary : basic mean/sd/quantile table
$density : estimated smoothed posterior density using the function density

$Robs : contains the $summary table and $density which is a list of estimated smoothed posterior densities.

$Rpred : $mean.im and $sd.im are im-objects for predictive mean and sd of the latent R. $var has $summary and $density, for the pointwise variances of log-R values.

Plot: plots the posteriors of estimated hyper-parameters and the posterior mean and pointwise-variance of R-field.

See Also

fitRFHC, rfhcFit.

antiphon/rfhc documentation built on May 10, 2019, 12:20 p.m.