R Observatory: Metrics for PosteriorBootstrap version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PosteriorBootstrap

0.1.2

Non-Parametric Sampling with Parallel Monte Carlo

0packages depend

2.8Kdownloads / year

98.5%test coverage

11/13checks pass

Overview

About

Maintained by James RobinsonFirst published 2019-10-093 releasesCRAN page ↗GitHub ↗

An implementation of a non-parametric statistical model using a parallelised Monte Carlo sampling scheme. The method implemented in this package allows non-parametric inference to be regularized for small sample sizes, while also being more accurate than approximations such as variational Bayes. The concentration parameter is an effective sample size parameter, determining the faith we have in the model versus the data. When the concentration is low, the samples are close to the exact Bayesian logistic regression method; when the concentration is high, the samples are close to the simplified variational Bayes logistic regression. The method is described in full in the paper Lyddon, Walker, and Holmes (2018), "Nonparametric learning from Bayesian models with randomized objective functions" arXiv:1806.11544.

Install

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

install.packages("PosteriorBootstrap", 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("alan-turing-institute/PosteriorBootstrap")

Development version from alan-turing-institute/PosteriorBootstrap. 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-posteriorbootstrap

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-PosteriorBootstrap

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-PosteriorBootstrap

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

Health

CRAN checks

2NOTE11OK

Failing flavors

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

Slowest check: 14.5 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.57

98.5%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

NOTE2026-03-30
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-03-10
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

READMEYes · 740 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.8K

CRAN downloads in the past year

Rank #12,918 · ~8/day · ~229/mo

Releases R versions

Daily download trend is not available in this view yet.

19630 days

79590 days

2.8K1 year

Compare downloads with other packages →

Also on103 r2u28 autocran

Repository

GitHub ↗ alan-turing-institute/posteriorbootstrap

4Stars

3Forks

5Open issues

0Open PRs

3Releases

310Commits

5Contributors

hut23hut23-306hacktoberfest

310 commits · Last activity 2023-09-08

Stars over time

2021-07-24 · 32026-07-07 · 4

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/alan-turing-institute/posteriorbootstrap on 2026-08-23.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Coverage (1)

Codecov

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

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (3)

e1071MASSutils

LinkingTo (0)

none

Suggests (14)

BH covr dplyr ggplot2 gridExtra knitr lintr (>= 1.0.3)RcppEigen RcppParallel rmarkdown roxygen2 rstan testthat tibble

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

James Robinson

Author, Maintainer

Authors (3)

James Robinson

Author, Maintainer

Simon Lyddon

Author

Miguel Morin

Author

Copyright holders (1)

The Alan Turing Institute

Copyright holder

Package Timeline

3 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
0.1.2Latest
2023-03-12 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.1
2021-05-14 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.0
2019-10-09
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-10-09
Total releases: 3 / 7 yrs
License: MIT + file LICENSE OSI
Download size: 506 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PosteriorBootstrap")

Format

Robinson, J., The Alan Turing Institute, Lyddon, S., & Morin, M. (2023). PosteriorBootstrap: Non-Parametric Sampling with Parallel Monte Carlo (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.PosteriorBootstrap

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 PosteriorBootstrap version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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