Package: nrba Title: Methods for Conducting Nonresponse Bias Analysis (NRBA) Version: 0.3.1 Authors@R: c( person(given = "Ben", family = "Schneider", role = c("aut", "cre"), email = "BenjaminSchneider@westat.com", comment = c(ORCID = "0000-0002-0406-8470")), person(given = "Jim", family = "Green", role = c("aut"), email = "JimGreen@westat.com"), person(given = "Shelley", family = "Brock", role = "aut", email = "ShelleyBrock@westat.com", comment = "Author of original SAS macro, WesNRBA"), person(given = "Tom", family = "Krenzke", role = "aut", email = "TomKrenzke@westat.com", comment = "Author of original SAS macro, WesNRBA"), person(given = "Michael", family = "Jones", role = "aut", email = "MichaelJones@westat.com", comment = "Author of original SAS macro, WesNRBA"), person(given = "Wendy", family = "Van de Kerckhove", role = "aut", comment = "Author of original SAS macro, WesNRBA"), person(given = "David", family = "Ferraro", role = "aut", comment = "Author of original SAS macro, WesNRBA"), person(given = "Laura", family = "Alvarez-Rojas", role = "aut", comment = "Author of original SAS macro, WesNRBA"), person(given = "Katie", family = "Hubbell", role = "aut", email = "KatieHubbell@westat.com", comment = "Author of original SAS macro, WesNRBA"), person(given = "Westat", role = c("cph"))) 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. License: GPL (>= 3) Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 Imports: broom, dplyr, magrittr, rlang, srvyr, stats, survey (>= 4.1-1), svrep, tidyr Suggests: knitr, rmarkdown, stringr, testthat (>= 3.0.0), tibble Config/testthat/edition: 3 Depends: R (>= 4.1.0) VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-09-17 09:23:55 UTC; root Author: Ben Schneider [aut, cre] (), Jim Green [aut], Shelley Brock [aut] (Author of original SAS macro, WesNRBA), Tom Krenzke [aut] (Author of original SAS macro, WesNRBA), Michael Jones [aut] (Author of original SAS macro, WesNRBA), Wendy Van de Kerckhove [aut] (Author of original SAS macro, WesNRBA), David Ferraro [aut] (Author of original SAS macro, WesNRBA), Laura Alvarez-Rojas [aut] (Author of original SAS macro, WesNRBA), Katie Hubbell [aut] (Author of original SAS macro, WesNRBA), Westat [cph] Maintainer: Ben Schneider Config/pak/sysreqs: make libicu-dev Repository: https://westat-schneider.r-universe.dev Date/Publication: 2023-11-22 02:42:05 UTC RemoteUrl: https://github.com/cran/nrba RemoteRef: HEAD RemoteSha: 60c8caa611d7fc9c3269446c5cecdb0c3b585742