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bayesplot  

Plotting for Bayesian Models
View on CRAN: Click here


Download and install bayesplot package within the R console
Install from CRAN:
install.packages("bayesplot")

Install from Github:
library("remotes")
install_github("cran/bayesplot")

Install by package version:
library("remotes")
install_version("bayesplot", "1.11.1")



Attach the package and use:
library("bayesplot")
Maintained by
Jonah Gabry
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-18
Latest Update: 2022-11-16
Description:
Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) . The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
How to cite:
Jonah Gabry (2016). bayesplot: Plotting for Bayesian Models. R package version 1.11.1, https://cran.r-project.org/web/packages/bayesplot. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2016-11-18 23:12), 1.1.0 (2016-12-20 08:16), 1.2.0 (2017-04-12 17:26), 1.3.0 (2017-08-07 22:48), 1.4.0 (2017-09-12 17:08), 1.5.0 (2018-03-30 19:12), 1.6.0 (2018-08-02 15:00), 1.7.0 (2019-05-23 06:50), 1.7.1 (2019-12-02 00:00), 1.7.2 (2020-05-28 07:20), 1.8.0 (2021-01-10 18:10), 1.8.1 (2021-06-14 21:10), 1.9.0 (2022-03-10 12:20), 1.10.0 (2022-11-16 23:00), 1.11.0 (2024-01-31 00:10)
Other packages that cited bayesplot R package
View bayesplot citation profile
Other R packages that bayesplot depends, imports, suggests or enhances
Complete documentation for bayesplot
Functions, R codes and Examples using the bayesplot R package
Some associated functions: MCMC-combos . MCMC-diagnostics . MCMC-distributions . MCMC-intervals . MCMC-nuts . MCMC-overview . MCMC-parcoord . MCMC-recover . MCMC-scatterplots . MCMC-traces . PPC-censoring . PPC-discrete . PPC-distributions . PPC-errors . PPC-intervals . PPC-loo . PPC-overview . PPC-scatterplots . PPC-test-statistics . PPD-distributions . PPD-intervals . PPD-overview . PPD-test-statistics . available_ppc . bayesplot-colors . bayesplot-extractors . bayesplot-helpers . bayesplot-package . bayesplot_grid . bayesplot_theme_get . example-data . pp_check . reexports . theme_default . tidy-params . 
Some associated R codes: available-module-functions.R . bayesplot-colors.R . bayesplot-extractors.R . bayesplot-ggplot-themes.R . bayesplot-helpers.R . bayesplot-package.R . bayesplot_grid.R . example-data.R . helpers-gg.R . helpers-mcmc.R . helpers-ppc.R . helpers-shared.R . helpers-testthat.R . mcmc-combo.R . mcmc-diagnostics-nuts.R . mcmc-diagnostics.R . mcmc-distributions.R . mcmc-intervals.R . mcmc-overview.R . mcmc-parcoord.R . mcmc-recover.R . mcmc-scatterplots.R . mcmc-traces.R . pp_check.R . ppc-censoring.R . ppc-discrete.R . ppc-distributions.R . ppc-errors.R . ppc-intervals.R . ppc-loo.R . ppc-overview.R . ppc-scatterplots.R . ppc-test-statistics.R . ppd-distributions.R . ppd-intervals.R . ppd-overview.R . ppd-test-statistics.R . tidy-params.R . zzz.R .  Full bayesplot package functions and examples
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