beta_binomial_summary: Summarize features of a Beta-Binomial model
In ajohns24/MacBayes: Introductory Bayesian toolkit
Description
Usage
Arguments
Examples
Description
Summarize the parameters, mean, mode, & variance of the prior and posterior pdfs for a Beta-Binomial model.
Usage
1
beta_binomial_summary(alpha, beta, x = NULL, n = NULL)
Arguments
alpha, beta
Shape parameters of the Beta prior (Beta(alpha,beta))
x, n
Observed number of successes & trials
Examples
1
2
beta_binomial_summary(alpha = 1, beta = 1)
beta_binomial_summary(alpha = 1, beta = 1, x = 5, n = 10)
ajohns24/MacBayes documentation built on May 19, 2019, 12:41 a.m.
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.
Description Usage Arguments Examples
Description
Summarize the parameters, mean, mode, & variance of the prior and posterior pdfs for a Beta-Binomial model.
Usage
1 | beta_binomial_summary(alpha, beta, x = NULL, n = NULL)
|
Arguments
alpha, beta |
Shape parameters of the Beta prior (Beta(alpha,beta)) |
x, n |
Observed number of successes & trials |
Examples
1 2 | beta_binomial_summary(alpha = 1, beta = 1)
beta_binomial_summary(alpha = 1, beta = 1, x = 5, n = 10)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.