求助大神：生成混合偏正态分布的随机数。
英文参考里有程序但是自己不太明白，而且没有运行结果。
下面是程序：

### Example 2

## Do not run

# set.seed(150520)

# data(enzyme)

# x <- enzyme

# Enzyme1.out <- MixNRMI1(x, Alpha = 1, Beta = 0.007, Gama = 0.5,

# distr.k = 2, distr.p0 = 2, asigma = 1, bsigma = 1, Meps=0.005,

# Nit = 5000, Pbi = 0.2)

# The output of this run is already loaded in the package

# To show results run the following

# Data

data(enzyme)

x <- enzyme

data(Enzyme1.out)

attach(Enzyme1.out)

# Plotting density estimate + 95% credible interval

m <- ncol(qx)

ymax <- max(qx[,m])

par(mfrow=c(1,1))

hist(x,probability=TRUE,breaks=20,col=grey(.9),ylim=c(0,ymax))

lines(xx,qx[,1],lwd=2)

lines(xx,qx[,2],lty=3,col=4)

lines(xx,qx[,m],lty=3,col=4)

# Plotting number of clusters

par(mfrow=c(2,1))

plot(R,type="l",main="Trace of R")

hist(R,breaks=min(R-0.5):max(R+0.5),probability=TRUE)

# Plotting sigma par(mfrow=c(2,1))

plot(S,type="l",main="Trace of sigma")

hist(S,nclass=20,probability=TRUE,main="Histogram of sigma")

# Plotting u

par(mfrow=c(2,1))

plot(U,type="l",main="Trace of U")

hist(U,nclass=20,probability=TRUE,main="Histogram of U")

# Plotting cpo

par(mfrow=c(2,1))

plot(cpo,main="Scatter plot of CPO's")

boxplot(cpo,horizontal=TRUE,main="Boxplot of CPO's")

print(paste('Average log(CPO)=',round(mean(log(cpo)),4)))

print(paste('Median log(CPO)=',round(median(log(cpo)),4)))

detach()