pdiscp: Predictive distribution for a binomial sample with a discrete...

In LearnBayes: Functions for Learning Bayesian Inference

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

p	vector of proportion values
probs	vector of probabilities
n	size of future binomial sample
s	vector of number of successes for future binomial experiment

Value

vector of predictive probabilities for the values in the vector s

Author(s)

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)

Example output

 [1] 0.03211473 0.06657051 0.09190545 0.11272071 0.12897176 0.13543368
 [7] 0.12897176 0.11272071 0.09190545 0.06657051 0.03211473

LearnBayes documentation built on May 1, 2019, 7:03 p.m.