summary.npEM {mixtools} | R Documentation |
Summarizing non- and semi-parametric multivariate mixture model fits
Description
summary
method for class npEM
.
Usage
## S3 method for class 'npEM'
summary(object, ...)
## S3 method for class 'summary.npEM'
print(x, digits=3, ...)
Arguments
object , x |
an object of class |
digits |
Significant digits for printing values |
... |
further arguments passed to or from other methods. |
Details
summary.npEM
prints means and variances of each block for
each component. These quantities might not be part of the model, but they
are estimated nonparametrically based on the posterior probabilities and the
data.
Value
The function summary.npEM
returns a list of type summary.npEM
with the following components:
n |
The number of observations |
m |
The number of mixture components |
B |
The number of blocks |
blockid |
The block ID (from 1 through B) for each of the coordinates
of the multivariate observations. The |
means |
A |
variances |
Same as |
References
Benaglia, T., Chauveau, D., and Hunter, D. R. (2009), An EM-like algorithm for semi- and non-parametric estimation in multivariate mixtures, Journal of Computational and Graphical Statistics, 18(2), 505–526.
See Also
Examples
data(Waterdata)
set.seed(100)
## Not run:
a <- npEM(Waterdata[,3:10], 3, bw=4) # Assume indep but not iid
summary(a)
b <- npEM(Waterdata[,3:10], 3, bw=4, blockid=rep(1,8)) # Now assume iid
summary(b)
## End(Not run)