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#'@title Distribution function of a mixture of Gaussian univariate distributions
#'
#'@description This function computes the distribution function of a mixture of
#' Gaussian univariate distributions
#'
#'@param x Points at which the distribution function is comptuted (nx1);
#'@param mu vector of means for each regime (r x 1);
#'@param sigma vector of standard deviations for each regime (r x 1);
#'@param w vector of the probability of each regime (r x r).
#
#'
#'@author Bouchra R Nasri and Bruno N RĂ©millard, January 31, 2019
#'
#'@return \item{F}{values of the distribution function}
#'
#'@examples mu <- c(-0.3 ,0.7) ; sigma <- c(0.15,0.05); w <-c(0.8, 0.2);
#'x <- seq(-1, 1, by = 0.01)
#'F <- GaussianMixtureCdf(x,mu,sigma,w)
#'plot(x,F,type="l")
#'
#'@importFrom stats pnorm
#'@export
#'
GaussianMixtureCdf=function(x,mu,sigma,w){
r = length(w);
n = length(x);
z = matrix(0,n,r);
for (k in 1:r){
z[,k] = (x-mu[k])/sigma[k]
}
F = as.vector(pnorm(z)%*%w);
return(F)
}
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