bayMDS (version 2.0)

MDSIC: compute and plot MDSIC

Description

compute and plot MDSIC, a Bayesian selection criterion, given in Oh and Raftery (2001) based on the output of the function bmds

Usage

MDSIC(x, plot = TRUE, ...)

Value

a list of MDSIC results

mdsic

MDSIC, for p =1,..,max_p

llike

log likelihood term in MDSIC, for p=1,...,max_p

penalty

penalty term in MDSIC, for p=1,...,max_p

Arguments

x

an object of class bmds, the output of the function bmds

plot

TRUE/FALSE, if TRUE plot the number of dimensions versus MDSIC (default=TRUE)

...

arguments to be passed to methods

Details

Notes To compute MDSIC, output of the function bmds for min_p=1 is needed for sequential calculation of MDSIC.

References

Oh, M-S., Raftery A.E. (2001). Bayesian Multidimensional Scaling and Choice of Dimension, Journal of the American Statistical Association, 96, 1031-1044.

Examples

# \donttest{
data(cityDIST)
out <- bmds(cityDIST, min_p=1, max_p=5 )
MDSIC(out)
# }