rmix_norm: Simulate exactly a mixture Gaussian distribution

Description Usage Arguments Value Examples

Description

Simulate exactly a mixture Gaussian distribution using component sampling

Usage

1
rmix_norm(n, weights, means, sds)

Arguments

n

number of samples required

weights

vector: weights of mixture Gaussian

means

vector: means of mixture Gassuan

sds

vector: st.devs of mixture Gaussian

Value

samples: samples of a mixture Gaussian distribution

Examples

1
rmix_norm(n = 10000, weights = c(0.4, 0.6), means = c(-3, 9), sds = c(2, 0.4))

rchan26/mixGaussTempering documentation built on June 14, 2019, 3:26 p.m.