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This function computes the inverse distribution function of a mixture of Gaussian univariate distributions
GaussianMixtureInv(p, mu, sigma, w)
values of the quantile function
Points in (0,1) at which the distribution function is computed (nx1);
vector of means for each regime (r x 1);
vector of standard deviations for each regime (r x 1);
vector of the probability of each regime (r x 1).
Bouchra R Nasri and Bruno N Rémillard, January 31, 2019
mu <- c(-0.3 ,0.7) ; sigma <- c(0.15,0.05); w <-c(0.8, 0.2); p <- seq(0.01, 0.99, by = 0.01) q <- GaussianMixtureInv(p,mu,sigma,w) plot(p,q,type="l")
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