gibbs_betabin: Gibbs sampling of the beta-binomial distribution
In bayesball/TeachBayes: Teaching Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/gibbs_betabin.R
Description
Implements Gibbs sampling of the beta-binomial distribution
Usage
1
gibbs_betabin(n, a, b, p = 0.5, iter = 1000)
Arguments
n
binomial sample size
a
first beta shape parameter
b
second beta shape parameter
p
starting value of proportion in algorithm
iter
number of iterations
Value
matrix of simulated draws from the algorithm
Author(s)
Jim Albert
Examples
1
sp <- gibbs_betabin(20, 5, 5, 100)
bayesball/TeachBayes documentation built on Jan. 5, 2020, 1:47 a.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/gibbs_betabin.R
Description
Implements Gibbs sampling of the beta-binomial distribution
Usage
1 | gibbs_betabin(n, a, b, p = 0.5, iter = 1000)
|
Arguments
n |
binomial sample size |
a |
first beta shape parameter |
b |
second beta shape parameter |
p |
starting value of proportion in algorithm |
iter |
number of iterations |
Value
matrix of simulated draws from the algorithm
Author(s)
Jim Albert
Examples
1 | sp <- gibbs_betabin(20, 5, 5, 100)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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