R Observatory: Metrics for weightflow version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

weightflow

1.1.0

Declarative Recipes for Staged Survey Weighting with Recipe-Aware Replicate Variances

0packages depend

954downloads / year

93.3%test coverage

13/13checks pass

Overview

About

Maintained by Juan Pablo FerreiraFirst published 2026-06-304 releasesCRAN page ↗GitHub ↗

Builds survey analysis weights by declaring the whole weighting process as an ordered recipe of explicit adjustments and estimating it in a single call. The recipe follows the stages of a real household survey: redistribution of unresolved eligibility, within-household selection, nonresponse adjustment by weighting classes, by response-propensity models (logistic regression or machine-learning learners such as trees, random forests and gradient boosting, with optional cross-fitting) or by two-phase calibration for nonresponse, calibration to known population totals following Deville and Sarndal (1992) doi:10.2307/2290268, optional model-assisted (model) calibration to auxiliary predictions following Wu and Sitter (2001) doi:10.1198/016214501750333054, and range-restricted trimming that bounds the weights while preserving the calibration totals. Variances come from a recipe-aware bootstrap and jackknife that resample or delete primary sampling units and re-apply the entire cascade on each replicate, following the rescaling bootstrap of Rao and Wu (1988) doi:10.1080/01621459.1988.10478591, so the replicate weights carry the variability of every adjustment instead of treating the adjustments as known. A self-contained HTML report documents each step with its diagnostics, and the weights bridge to the 'survey' and 'srvyr' packages for design-based inference.

Install

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

install.packages("weightflow", 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("jpferreira33/weightflow")

Development version from jpferreira33/weightflow. 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-weightflow

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-weightflow

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-weightflow

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

Health

CRAN checks

13OK

Slowest check: 4.3 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 1.07

93.3%

Coverage · measured lines

100%

Documentation · exports

4

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-01
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 2,470 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 96%
Return-value docs: 100%
References docs: 3%

Downloads

954

CRAN downloads in the past year

Rank #10,042 · ~3/day · ~80/mo

Releases R versions

Daily download trend is not available in this view yet.

31930 days

95490 days

9541 year

Compare downloads with other packages →

Also on17 r2u6 autocran

Repository

GitHub ↗ jpferreira33/weightflow

7Stars

1Forks

0Open issues

0Open PRs

0Releases

160Commits

1Contributors

160 commits · Last activity 2026-08-25 · +250% stars, 30d

Stars over time

2026-06-18 · 12026-08-20 · 7

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jpferreira33/weightflow on 2026-08-23.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

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

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (4)

statsutilsgraphicsparallel

LinkingTo (0)

none

Suggests (15)

MASSrpartranger testthat survey srvyr dplyr tidyr ggplot2 haven archive knitr rmarkdown spelling xgboost

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Juan Pablo Ferreira

Author, Maintainer

Authors (2)

Juan Pablo Ferreira

Author, Maintainer

Andrés Gutiérrez

Author · added in 1.0.0

Package Timeline

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

1.1.0Latest
2026-08-19 · current release · diff ↗
1.0.0
2026-08-04 · diff ↗
0.2.0
2026-07-22 · diff ↗
0.1.0
2026-06-30
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-30
Total releases: 4 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 32 KB / 3 files
Download size: 1.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Official Statistics & Survey Statistics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("weightflow")

Format

Ferreira, J. P., & Gutiérrez, A. (2026). weightflow: Declarative Recipes for Staged Survey Weighting with Recipe-Aware Replicate Variances (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.weightflow

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 weightflow version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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