1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
\name{pdiscp}
\alias{pdiscp}
\title{Predictive distribution for a binomial sample with a discrete prior}
\description{
Computes predictive distribution for number of successes of
future binomial experiment
with a discrete distribution for the proportion.
}
\usage{
pdiscp(p, probs, n, s)
}
\arguments{
\item{p}{vector of proportion values}
\item{probs}{vector of probabilities}
\item{n}{size of future binomial sample}
\item{s}{vector of number of successes for future binomial experiment}
}
\value{
vector of predictive probabilities for the values in the vector s
}
\author{Jim Albert}
\examples{
p=c(.1,.2,.3,.4,.5,.6,.7,.8,.9)
prob=c(0.05,0.10,0.10,0.15,0.20,0.15,0.10,0.10,0.05)
n=10
s=0:10
pdiscp(p,prob,n,s)
}
\keyword{models}
|
