bang {bang} | R Documentation |

## bang: Bayesian Analysis, No Gibbs

### Description

Performs Bayesian analyses using some simple commonly-used models.
The multivariate generalized ratio-of-uniforms method is used to simulate
random samples from the required posterior distribution.
The user can either choose hyperparameter values of a default prior
distribution or specify their own prior distribution.

### Details

Currently three conjugate hierarchical models are available:
beta-binomial, gamma-Poisson and 1-way Analysis of Variance (ANOVA).
The function `hef`

produces random posterior samples from for the
beta-binomial and gamma-Poisson models. The function `hanova1`

does this for the 1-way Analysis of Variance (ANOVA).
The rust package is used to
produce these samples.

See
vignette("bang-a-vignette", package = "bang") for a brief introduction
to the package and
vignette("bang-b-hef-vignette", package = "bang") and
vignette("bang-c-anova-vignette", package = "bang") for illustrations
of the use of the `hef`

and `hanova1`

functions.

### References

Northrop, P. J. (2017). rust: Ratio-of-Uniforms Simulation with
Transformation. R package version 1.2.3.
https://cran.r-project.org/package=rust.

### See Also

`hef`

for hierarchical exponential family models.

`hanova1`

for hierarchical one-way analysis of
variance (ANOVA).

`set_user_prior`

to set a user-defined prior.

[Package

*bang* version 1.0.1

Index]