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bang
View on CRAN: Click
here
Download and install bang package within the R console
Install from CRAN:
install.packages("bang")
Install from Github:
library("remotes")
install_github("cran/bang")
Install by package version:
library("remotes")
install_version("bang", "1.0.4")
Attach the package and use:
library("bang")
Maintained by
Paul J. Northrop
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-20
Latest Update: 2023-09-02
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
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)
for details. At the moment three conjugate
hierarchical models are available: beta-binomial, gamma-Poisson and a 1-way
analysis of variance (ANOVA).
How to cite:
Paul J. Northrop (2017). bang: Bayesian Analysis, No Gibbs. R package version 1.0.4, https://cran.r-project.org/web/packages/bang. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for bang
Functions, R codes and Examples using
the bang R package
Some associated functions: bang-package . bang . coagulation . hanova1 . hef . plot.hef . pp_check.hef . print.hef . print.summary.hef . pump . rat . set_user_prior . sim_pred_beta_binom . sim_pred_gamma_pois . sim_pred_hanova1 . summary.hef . temp1 . temp2 . weight_gain .
Some associated R codes: anova_prior.R . bang-package.R . bang.R . bayesplot.R . beta_prior.R . binom_beta.R . gamma_prior.R . hef.R . misc.R . one_way_anova.R . plot_summary_print.R . pois_gamma.R . set_and_check_prior.R . zzz.R . Full bang package functions and examples
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