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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
print(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
summary(jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
observationweight<-1/3
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
observationweight<-1/3
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
#plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
observationweight<-1/3
 ...

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library(SuppDists)
jdist<-list(gamma=-0.7, delta=0.8, xi=26, lambda=1.4, type="SU")
xvals<-seq(10,60,by=1)
yvals<-dJohnson(xvals,jdist)
plot(xvals,yvals,col="blue",type="l")
 
#this is some trial observation - say we see an observation of "40" and give it a weighting of one-third
observation<-40
observationweight<-1/3
 ...

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plot(rnorm(100))

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plot(rnorm100)

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rnorm(100)

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song<-function(n=99) {
  a<-" bottle"
  b<-" of beer on the wall, "
  c<-" of beer. "
  d<-"Take one down and pass it around: "
  #
  ## set "beer counter" vector
  counter<-c(as.character(n:1),"No more")
  # 
 ...

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y=c(15,11,12,5,12)
lambda=50
a=1
b=1
data=list(n=length(y),y=y,lambda=lambda,a=a,b=b)
params=list("phi","N")
inits=function(){
  phi=rbeta(1,a,b)
  N=rpois(length(y),lambda)
 ...

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song<-function(n=99) {
  a<-" bottle"
  b<-" of beer on the wall, "
  c<-" of beer. "
  d<-"Take one down and pass it around: "
  #
  ## set "beer counter" vector
  counter<-c(as.character(n:1),"No more")
  # 
 ...