rdmix: Mixture of Normal Distributions
In hafen/ed: ed: a regression approach to density estimation

Description Usage Arguments Details Value Author(s) Examples

Density and random generation of a mixture of normal distributions

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rmix(n, mu = 0, sigma = 1, delta = 1)

dmix(x, mu, sigma, delta)

`n`	number of observations
`mu`	vector of means
`sigma`	vector of standard deviations
`delta`	vector
`x`	vector of quantiles

If a scalar is specified for any of the parameters, it will be replicated to meet the length of the other parameters. If the delta values do not sum to 1, they will be normalized with a warning.

dmix gives the density and rnorm generates random deviates

Ryan Hafen

mu <- c(0, 2, 3.5, 5, 8)
sigma <- c(0.5, 0.7, 0.3, 0.6, 1.4)
delta <- 0.2

x <- rmix(2000, mu, sigma, delta)
hist(x, breaks = 100, freq = FALSE)

ss <- seq(-2, 12, length = 200)
lines(ss, dmix(ss, mu, sigma, delta), col = "red")