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idcnrba

1.1.0Package record

Interactive Application for Analyzing Representativeness and Nonresponse Bias

0packages depend
2.9Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Provides access to the Idea Data Center (IDC) application for conducting nonresponse bias analysis (NRBA). The IDC NRBA app is an interactive, browser-based Shiny application that can be used to analyze survey data with respect to response rates, representativeness, and nonresponse bias. This app provides a user-friendly interface to statistical methods implemented by the 'nrba' package. Krenzke, Van de Kerckhove, and Mohadjer (2005) http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf and Lohr and Riddles (2016) https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR provide an overview of the statistical methods implemented in the application.

Changes in 1.1.0
  • Added links to the IDC website and user guide.
  • For an attempted census, when the app creates replicate weights, it uses the random-groups jackknife method. This should drastically increase speed.
  • For the analysis type comparing estimates to external benchmark data, user-entered percentages must sum to 100.
  • The progress bar now appears for every analysis type in the app.
  • Informative error messages are shown for most analysis types when the user supplies a dataset with only respondents in it.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 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

Documentation

In release 1.1.0
READMEYes · 75 wordsVignettesNoNEWSYes · 100% structured · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
2 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check (under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #13,122 · ~8/day · ~246/mo
Daily download trend is not available in this view yet.
30630 days
87790 days
2.9K1 year
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Also on68 r2u7 autocran

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)

Installing idcnrba adds 93 packages (46 with compiled code, 67 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, srvyr 3.2 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Author, Maintainer since 0.1.0 (2023)
Author
Copyright holder
Releases (4)

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
  • 1.1.0Latest
    record
    2023-11-21 · current release · diff ↗
  • 1.0.0
    record
    2023-07-17 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2.0
    record
    2023-04-11 · diff ↗
  • 0.1.0
    record
    2023-03-24
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-24
Total releases
4 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Download size
289 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("idcnrba")
Schneider, B., Westat, Cates, A., Cruse, A., Fucci, A., Green, J., & Nimkoff, T. (2023). idcnrba: Interactive Application for Analyzing Representativeness and Nonresponse Bias (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.idcnrba

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for idcnrba version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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