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nrba  

Methods for Conducting Nonresponse Bias Analysis (NRBA)
View on CRAN: Click here


Download and install nrba package within the R console
Install from CRAN:
install.packages("nrba")

Install from Github:
library("remotes")
install_github("cran/nrba")

Install by package version:
library("remotes")
install_version("nrba", "0.3.1")



Attach the package and use:
library("nrba")
Maintained by
Ben Schneider
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-23
Latest Update: 2023-11-21
Description:
Facilitates nonresponse bias analysis (NRBA) for survey data. Such data may arise from a complex sampling design with features such as stratification, clustering, or unequal probabilities of selection. Multiple types of analyses may be conducted: comparisons of response rates across subgroups; comparisons of estimates before and after weighting adjustments; comparisons of sample-based estimates to external population totals; tests of systematic differences in covariate means between respondents and full samples; tests of independence between response status and covariates; and modeling of outcomes and response status as a function of covariates. Extensive documentation and references are provided for each type of analysis. Krenzke, Van de Kerckhove, and Mohadjer (2005) and Lohr and Riddles (2016) provide an overview of the methods implemented in this package.
How to cite:
Ben Schneider (2023). nrba: Methods for Conducting Nonresponse Bias Analysis (NRBA). R package version 0.3.1, https://cran.r-project.org/web/packages/nrba. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2023-03-23 10:50), 0.2.0 (2023-07-17 08:50)
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