R Observatory: Metrics for BRINDA version 0.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BRINDA

0.1.5Package record

Computation of BRINDA Adjusted Micronutrient Biomarkers for Inflammation

0packages depend

3.6Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Hanqi LuoCRAN page ↗GitHub ↗Issues ↗

Inflammation can affect many micronutrient biomarkers and can thus lead to incorrect diagnosis of individuals and to over- or under-estimate the prevalence of deficiency in a population. Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) is a multi-agency and multi-country partnership designed to improve the interpretation of nutrient biomarkers in settings of inflammation and to generate context-specific estimates of risk factors for anemia (Suchdev (2016) doi:10.3945/an.115.010215). In the past few years, BRINDA published a series of papers to provide guidance on how to adjust micronutrient biomarkers, retinol binding protein, serum retinol, serum ferritin by Namaste (2020), soluble transferrin receptor (sTfR), serum zinc, serum and Red Blood Cell (RBC) folate, and serum B-12, using inflammation markers, alpha-1-acid glycoprotein (AGP) and/or C-Reactive Protein (CRP) by Namaste (2020) doi:10.1093/ajcn/nqaa141, Rohner (2017) doi:10.3945/ajcn.116.142232, McDonald (2020) doi:10.1093/ajcn/nqz304, and Young (2020) doi:10.1093/ajcn/nqz303. The BRINDA inflammation adjustment method mainly focuses on Women of Reproductive Age (WRA) and Preschool-age Children (PSC); however, the general principle of the BRINDA method might apply to other population groups. The BRINDA R package is a user-friendly all-in-one R package that uses a series of functions to implement BRINDA adjustment method, as described above. The BRINDA R package will first carry out rigorous checks and provides users guidance to correct data or input errors (if they occur) prior to inflammation adjustments. After no errors are detected, the package implements the BRINDA inflammation adjustment for up to five micronutrient biomarkers, namely retinol-binding-protein, serum retinol, serum ferritin, sTfR, and serum zinc (when appropriate), using inflammation indicators of AGP and/or CRP for various population groups. Of note, adjustment for serum and RBC folate and serum B-12 is not included in the R package, since evidence shows that no adjustment is needed for these micronutrient biomarkers in either WRA or PSC groups (Young (2020) doi:10.1093/ajcn/nqz303).

Changes in 0.1.5

Change the condition of adjusting for sTfR. sTfR is adjusted by AGP only in WRA and PSC population groups. sTfR can be adjusted by AGP or CRP in other/manual population groups.
10/16/2022：moved URL: https://brinda-nutrition.org/publications/ to

https://www.brinda-nutrition.org/publications)

From NEWS.md in the release

Install

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

install.packages("BRINDA", 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("hanqiluo/BRINDA")

Development version from hanqiluo/BRINDA. 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-brinda

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-BRINDA

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-BRINDA

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.5

READMEYes · 211 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.5Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #11,632 · ~10/day · ~301/mo

Releases R versions

Daily download trend is not available in this view yet.

33630 days

93590 days

3.6K1 year

Compare downloads with other packages →

Also on98 r2u6 autocran37 c2d4u

How downloads are counted

Repository

hanqiluo/brinda ↗Account: hanqiluo

3Stars

0Forks

0Open issues

0Open PRs

1Releases

35Commits

2Commit identities

License file reads as CC-BY-4.0 · 35 commits · Last activity 2022-10-16

Responsiveness

not measured

Stars over time

2024-12-19 · 32026-07-07 · 3

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/hanqiluo/brinda on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)

README.Rmd

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing BRINDA adds 60 packages (30 with compiled code, 55 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (5)

berryFunctions data.table dplyr Hmisc rlang

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Hanqi Luo

Maintainer since 0.1.3 (2021), Author

O Yaw Addo

Author

Jiaxi Geng

Contributor · added in 0.1.5

Listed in earlier versions (1)

Afrin Jahan

no longer listed · 0.1.3 to 0.1.4

Releases (3)

Pick two releases to compare their code metrics.

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
0.1.5Latest
record
2022-10-16 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.4
record
2022-04-12 · diff ↗
0.1.3
record
2021-11-10
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-11-10
Total releases: 3 / 5 yrs
License: CC BY 4.0
Minimum R: ≥ 4.1.0
Bundled data: 2.3 KB / 1 file
Download size: 16 KB

Appears in task views

Genomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BRINDA")

Format

Luo, H., Addo, O. Y., & Geng, J. (2022). BRINDA: Computation of BRINDA Adjusted Micronutrient Biomarkers for Inflammation (Version 0.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.BRINDA

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 BRINDA version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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