poisson_gamma_summary: Summarize features of a Poisson-Gamma 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 Poisson-Gamma model.
Usage
1
poisson_gamma_summary(s, r, sum_x = NULL, n = NULL)
Arguments
s, r
Shape & rate parameters of the Gamma prior (Gamma(s,r))
sum_x, n
Observed count total & sample size, respectively
Examples
1
2
poisson_gamma_summary(s=2, r=2)
poisson_gamma_summary(s=2, r=2, sum_x=10, n=5)
ajohns24/MacBayes documentation built on May 19, 2019, 12:41 a.m.
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Description Usage Arguments Examples
Description
Summarize the parameters, mean, mode, & variance of the prior and posterior pdfs for a Poisson-Gamma model.
Usage
1 | poisson_gamma_summary(s, r, sum_x = NULL, n = NULL)
|
Arguments
s, r |
Shape & rate parameters of the Gamma prior (Gamma(s,r)) |
sum_x, n |
Observed count total & sample size, respectively |
Examples
1 2 | poisson_gamma_summary(s=2, r=2)
poisson_gamma_summary(s=2, r=2, sum_x=10, n=5)
|
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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