Sample from a Gaussian mixture

Draws n independent samples from a Gaussian mixture.

Usage

rgmm(n, g)

Arguments

n

Number of samples (positive integer scalar).

g

A gmm (or gmm_fit) object.

Value

A numeric matrix of dimension n by p.

See also

Other ops: dgmm(), gmm_canonicalise(), gmm_conditionalise(), gmm_divergence(), gmm_kld(), gmm_marginalise(), gmm_mean(), gmm_modes(), pgmm()

Examples

g <- gmm(weights = c(0.5, 0.5),
         means = list(c(-1, 0), c(1, 0)),
         covariances = list(diag(2), diag(2)))
x <- rgmm(50L, g)
dim(x)
#> [1] 50  2