Summary of the generalized additive mixed model fit produced by gSlc

Description

A graphical table showing,for key model parameters, the Markov chain Monte Carlo (MCMC) samples, diagnostic plots and meaningful summaries.

Usage

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## S3 method for class 'gSlc'
summary(object,pages = 1,...)

Arguments

object

A gSlc object.

pages

The number of pages used to display summary. The default value of pages is 1.

...

Other parameters.

Details

The columns of the graphical table are:

1. parameter name,
2. trace plot of the MCMC sample,
3. plot of MCMC sample against its lag 1 sample,
4. sample autocorrelation function,
5. kernel density estimate of posterior density function,
6. numerical summaries of posterior density function.

Author(s)

Tung Pham tung.pham@epfl.ch and Matt Wand matt.wand@uts.edu.au.

References

Pham, T. and Wand, M.P. (2012).
Generalized additive mixed model analysis via gammSlice.
Submitted.

See Also

gSlc, plot.gSlc

Examples

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## Not run: 
dat1 <- gSlcSim(eg=3, num.rep = 10, num.gps = 100, family = "binomial",
                random.factor = FALSE)
fit1 <- gSlc(y~s(x1),family = "binomial", data = dat1)
summary(fit1)

dat2 <- gSlcSim(eg=6,family = "poisson", random.factor = TRUE)
fit2 <- gSlc(y~x1 + x2 + s(x3) + s(x4), random = list(idnum=~1),
             family = "poisson", data = dat2)
summary(fit2,pages=2)

## End(Not run)