Dear R buddies, 

Sorry for this silly question but am new to R. I am trying to generate states and observations to be use for Bayesian Hidden Markov Models analysis where i intend using mixture of Poisson and Negative binomial as emulsion. I use the code below to generate states and observations for homogeneous HMM . I would like to know if i correctly generated the data. 
 
   
pii = c(0.6,0.4)
p1 <- matrix(c(0.8,0.2,0.3,0.7),byrow=TRUE,nrow=2)


    NUM = 200    
    theta<-rep(0, NUM)
    x<-rep(0, NUM)
   
    ## generating the states
    # initial state
    theta[1]<-rbinom(1, 1, pii[1])
    # other states
    for (i in 2:NUM)
    {
      if (theta[i-1]==0)
        theta[i]<-rbinom(1, 1, p1[1, 1])
      else
        theta[i]<-rbinom(1, 1, p1[2, 1])
    }
    
    ## generating the observations
    
    for (i in 1:NUM)
    {
      if (theta[i]==0)
      {
        x[i]<-rpois(1, 5)
      }
      else
      { 
        x[i]<-rnbinom(1, 3, 0.3)
      }
    }
    data<-list(s=theta, o=x, p1 = p1, pii = pii)

Thanks for your response.
Zakir

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