-
Notifications
You must be signed in to change notification settings - Fork 1
/
DESCRIPTION
35 lines (35 loc) · 1.32 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
Package: bang
Title: Bayesian Analysis, No Gibbs
Version: 1.0.4
Date: 2024-07-17
Authors@R: c(person(c("Paul", "J."), "Northrop", email = "[email protected]",
role = c("aut", "cre", "cph")),
person(c("Benjamin", "D."), "Hall", email = "[email protected]",
role = c("aut", "cph")))
Description: Provides functions for the Bayesian analysis of some simple
commonly-used models, without using Markov Chain Monte Carlo (MCMC)
methods such as Gibbs sampling. The 'rust' package
<https://cran.r-project.org/package=rust> is used to simulate a random
sample from the required posterior distribution, using the generalized
ratio-of-uniforms method. See Wakefield, Gelfand and Smith (1991)
<DOI:10.1007/BF01889987> for details. At the moment three conjugate
hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way
analysis of variance (ANOVA).
Depends: R (>= 3.3.0)
Imports: bayesplot (>= 1.1.0),
graphics,
rust (>= 1.2.2),
stats
RoxygenNote: 7.2.3
Suggests: ggplot2 (>= 2.2.1),
knitr,
MASS,
rmarkdown,
testthat
VignetteBuilder: knitr
URL: https://paulnorthrop.github.io/bang/, https://github.com/paulnorthrop/bang
BugReports: https://github.com/paulnorthrop/bang/issues
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
Config/testthat/edition: 3