beta_MH: Metropolis-Hastings Algorithm For simulating X~Beta(a,b)
In jcorrett/stats230.Rpackage: STATS230 R Functions
beta_MH R Documentation
Metropolis-Hastings Algorithm For simulating X~Beta(a,b)
Description
Metropolis-Hastings Algorithm For simulating X~Beta(a,b)
Usage
beta_MH(N, a, b, x0, sigma)
Arguments
N
Number of MCMC steps
a
Beta distribution parameter 1
b
Beta distribution parameter 2
x0
Initial guess
sigma
Tuning parameter
jcorrett/stats230.Rpackage documentation built on March 21, 2022, 5:36 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.
| beta_MH | R Documentation |
Metropolis-Hastings Algorithm For simulating X~Beta(a,b)
Description
Metropolis-Hastings Algorithm For simulating X~Beta(a,b)
Usage
beta_MH(N, a, b, x0, sigma)
Arguments
N |
Number of MCMC steps |
a |
Beta distribution parameter 1 |
b |
Beta distribution parameter 2 |
x0 |
Initial guess |
sigma |
Tuning parameter |
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.