bayesics

3.0.0

Bayesian Analyses for One- and Two-Sample Inference and Regression Methods

0packages depend

2.7Kdownloads / year

74.2%test coverage

13/13checks pass

Overview

About

Maintained by Daniel K. SewellFirst published 2026-02-064 releasesCRAN page ↗GitHub ↗

Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) doi:10.1214/aoms/1177693507 or by Chib's method as given in doi:10.1080/01621459.1995.10476635. Interpretations are from Kass and Raftery (1995) doi:10.1080/01621459.1995.10476572. ROPE bounds are based on discussions in Kruschke (2018) doi:10.1177/2515245918771304. Methods for determining the number of posterior samples required are described in Doss et al. (2014) doi:10.1214/14-EJS957. Bayesian model averaging is done in part by Feldkircher and Zeugner (2015) doi:10.18637/jss.v068.i04. Methods for contingency table analysis is described in Gunel et al. (1974) doi:10.1093/biomet/61.3.545. Variational Bayes (VB) methods are described in Salimans and Knowles (2013) doi:10.1214/13-BA858. Mediation analysis uses the framework described in Imai et al. (2010) doi:10.1037/a0020761. The loss-likelihood bootstrap used in the non-parametric regression modeling is described in Lyddon et al. (2019) doi:10.1093/biomet/asz006. Non-parametric survival methods are described in Qing et al. (2023) doi:10.1002/pst.2256. Methods used for the Bayesian Wilcoxon signed-rank analysis is given in Chechile (2018) doi:10.1080/03610926.2017.1388402 and for the Bayesian Wilcoxon rank sum analysis in Chechile (2020) doi:10.1080/03610926.2018.1549247. Correlation analysis methods are carried out by Barch and Chechile (2023) doi:10.32614/CRAN.package.DFBA, and described in Lindley and Phillips (1976) doi:10.1080/00031305.1976.10479154 and Chechile and Barch (2021) doi:10.1016/j.jmp.2021.102638. See also Chechile (2020, ISBN: 9780262044585).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("bayesics", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("dksewell/bayesics")

Development version from dksewell/bayesics. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesics

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-bayesics

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bayesics

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 12.0 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.53

74.2%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 12%
Documented parameters: 93%
Return-value docs: 89%
References docs: 37%

Downloads

2.7K

CRAN downloads in the past year

Rank #7,426 · ~7/day · ~228/mo

Releases R versions

Daily download trend is not available in this view yet.

38630 days

1.4K90 days

2.7K1 year

Compare downloads with other packages →

Also on60 r2u62 autocran

Repository

GitHub ↗ dksewell/bayesics

1Stars

0Forks

4Open issues

0Open PRs

0Releases

3Contributors

Last activity 2026-07-13

Stars over time

2026-07-07 · 02026-07-16 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/dksewell/bayesics on 2026-07-19.

Continuous integration (1)

GitHub Actions

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (17)

tidyr dplyr rlang janitor extraDistr mvtnormMatrixfuture future.apply ggplot2 patchwork BMSclusterDFBA tibblesurvivalstringr

LinkingTo (0)

none

Suggests (5)

datasetsrstanarm knitrsplinestestthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Code Composition

R 22,445 (87%)Rd 3,423 (13%)

Code characteristics

Object systems

S340

Cyclomatic complexity: 7.0 median / 86 max
Test cases: 49 / 0.53 per code line

Test coverage

Line coverage

74%

Expression

71.0%

Tests / Examples

74.2% / 3% ex

Functions

69 29 exported

Complexity

13.9 avg / 86 max

Call network

69 nodes / 19 edges

Call graph

Open call graph →

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Lowest coverage

69 functions

Function	Cyclo	Coverage
plot.mediate_b	8	0%
plot_bands.aov_b	6	0%
plot_dx.aov_b	4	0%
plot_dx.mediate_b	10	0%
print.aov_b	2	0%
print.b_procedure	16	0%

People & History

People (2)

Maintainer (1)

Daniel K. Sewell

Author, Maintainer, Copyright holder

Authors (2)

Daniel K. Sewell

Author, Maintainer, Copyright holder

Alan Arakkal

Author

Daniel K. Sewell

Author, Maintainer, Copyright holder

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

3.0.0Latest
2026-07-14 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.1.1
2026-03-11 · diff ↗
2.1.0
2026-02-21 · diff ↗
2.0.2
2026-02-06
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-06
Total releases: 4 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.1.0
Download size: 131 KB
Installed size: not tracked yet
With dependencies: not tracked yet

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