student: Define a t student prior distribution
In bayesforecast: Bayesian Time Series Modeling with Stan
Description
Usage
Arguments
Details
Value
Description
student(mu,sd)
Usage
1
Arguments
mu
the location parameter mu
sd
the standard deviation parameter sigma
df
the degree freedom parameter df
Details
Define a t student prior distribution using the hyper parameters
mu, sigma and df as degree freedom, by default a standard t-student(0,1,5)
distribution with 5 degree freedom is return.
Value
a numerical vector interpreted as a prior in Stan
bayesforecast documentation built on June 17, 2021, 5:14 p.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 Details Value
Description
student(mu,sd)
Usage
1 |
Arguments
mu |
the location parameter mu |
sd |
the standard deviation parameter sigma |
df |
the degree freedom parameter df |
Details
Define a t student prior distribution using the hyper parameters mu, sigma and df as degree freedom, by default a standard t-student(0,1,5) distribution with 5 degree freedom is return.
Value
a numerical vector interpreted as a prior in Stan
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.