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rgmm

Generates dataset from Gaussian Mixture Model


Description

Generates dataset from Gaussian Mixture Model

Usage

rgmm(model = NULL, n = 100)

Arguments

model

: Gaussian Mixture Model defined by gmm()

n

: number of samples desired

Value

data (n by d): Random dataset generated from given the Gaussian Mixture Model

Note

Requires library mvtnorm

Examples

#Generate 100 samples from default gaussian mixture model
model <- gmm()
X <- rgmm(model)

#Generate 300 samples from 3-d gaussian mixture model
model <- gmm(d=3)
X <- rgmm(model,n=300)

KSD

Goodness-of-Fit Tests using Kernelized Stein Discrepancy

v1.0.1
MIT + file LICENSE
Authors
Min Hyung Kang [aut, cre], Qiang Liu [aut]
Initial release
2021-01-11

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