# Example 1# Generating some random values with# known mu, sigma, nu and tauy <- rEMWEx(n=100, mu =1, sigma =1.21, nu=1, tau=2)# Fitting the modelrequire(gamlss)mod <- gamlss(y~1, sigma.fo=~1, nu.fo=~1, tau.fo=~1, family=EMWEx, control=gamlss.control(n.cyc=5000, trace=FALSE))# Extracting the fitted values for mu, sigma, nu and tau# using the inverse link functionexp(coef(mod, what='mu'))exp(coef(mod, what='sigma'))exp(coef(mod, what='nu'))exp(coef(mod, what='tau'))# Example 2# Generating random values under some modeln <-200x1 <- runif(n, min=0.4, max=0.6)x2 <- runif(n, min=0.4, max=0.6)mu <- exp(0.75- x1)sigma <- exp(0.5- x2)nu <-1tau <-2x <- rEMWEx(n=n, mu, sigma, nu, tau)mod <- gamlss(x~x1, sigma.fo=~x2, nu.fo=~1, tau.fo=~1, family=EMWEx, control=gamlss.control(n.cyc=5000, trace=FALSE))coef(mod, what="mu")coef(mod, what="sigma")exp(coef(mod, what="nu"))exp(coef(mod, what="tau"))