R Observatory: Metrics for BayesSampling version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesSampling

1.1.0

Bayes Linear Estimators for Finite Population

0packages depend

3.1Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Pedro Soares FigueiredoFirst published 2020-04-242 releasesCRAN page ↗GitHub ↗

Allows the user to apply the Bayes Linear approach to finite population with the Simple Random Sampling - BLE_SRS() - and the Stratified Simple Random Sampling design - BLE_SSRS() - (both without replacement), to the Ratio estimator (using auxiliary information) - BLE_Ratio() - and to categorical data - BLE_Categorical(). The Bayes linear estimation approach is applied to a general linear regression model for finite population prediction in BLE_Reg() and it is also possible to achieve the design based estimators using vague prior distributions. Based on Gonçalves, K.C.M, Moura, F.A.S and Migon, H.S.(2014) https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886.

Install

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

install.packages("BayesSampling", 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("pedrosfig/BayesSampling")

Development version from pedrosfig/BayesSampling. 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-bayessampling

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-BayesSampling

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-BayesSampling

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 2.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

4

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,266 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 43%

Downloads

3.1K

CRAN downloads in the past year

Rank #13,110 · ~8/day · ~256/mo

Releases R versions

Daily download trend is not available in this view yet.

17930 days

77890 days

3.1K1 year

Compare downloads with other packages →

Also on121 r2u19 autocran

Repository

GitHub ↗ pedrosfig/bayessampling

1Stars

0Forks

0Open issues

0Open PRs

0Releases

64Commits

1Contributors

rpackagebayesiansamplingestimator

64 commits · Last activity 2021-05-01

Stars over time

2020-05-17 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/pedrosfig/bayessampling on 2026-08-09.

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (4)

MASSMatrixstatsmatrixcalc

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown TeachingSampling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Pedro Soares Figueiredo

Author, Maintainer

Authors (2)

Pedro Soares Figueiredo

Author, Maintainer

Kelly C. M. Gonçalves

Author, Thesis advisor

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.1.0Latest
2021-05-01 · current release · diff ↗
1.0.0
2020-04-24
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-04-24
Total releases: 2 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Bundled data: 611 KB / 1 file
Download size: 656 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesSampling")

Format

Soares Figueiredo, P., & M. Gonçalves, K. C. (2021). BayesSampling: Bayes Linear Estimators for Finite Population (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesSampling

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesSampling version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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