classify: Classify observations
In GMCM: Fast Estimation of Gaussian Mixture Copula Models

Description Usage Arguments Value See Also Examples

Classify observations according to the maximum a posterior probabilites.

1	classify(x, theta)

`x`	Either a `matrix` of A) observations where rows corresponds to obsercations and columns to dimensions or B) class probabilities where rows correspond to obsevations and columns to components.
`theta`	A list of parameters for the full model as described in `rtheta`. If `theta` is supplied, `x` are assumed to be observations (A). If `theta` is missing, `x` are assumed to be probabilites (B).

A integer vector of class numbers with length equal to the number of rows in x.

get.prob

# Classify using probabilites (usually returned from get.prob)
probs <- matrix(runif(75), 25, 3)
classify(probs)

# Classify using a matrix of observations and theta
theta <- rtheta(d = 4, m = 3)
u <- SimulateGMCMData(n = 20, theta = theta)$u
classify(x = u, theta = theta)