Simulate from Mixtures of Weibull distributions
Simulate from a mixture of univariate Weibull distributions.
rweibullmix(n, lambda = 1, shape = 1, scale = 1)
n |
Number of cases to simulate. |
lambda |
Vector of mixture probabilities, with length equal to m, the desired number of components (subpopulations). This is assumed to sum to 1. |
shape |
Vector of component shapes. |
scale |
Vector of component scales. |
rexpmix returns an n-vector sampled from an m-component
mixture of univariate Weibull distributions.
rnormmix and rmvnormmix for Gaussian mixtures,
rexpmix for mixture of exponentials.
n = 500 # sample size m = 2 # nb components lambda=c(0.4, 0.6) shape <- c(0.5,5); scale <- c(1,20) # model parameters set.seed(321) x <- rweibullmix(n, lambda, shape, scale) # iid ~ weibull mixture ## histogram of the simulated data. hist(x, col=8)
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