Package: lwc2022
Title: Langa-Weir Classification of Cognitive Function for 2022 HRS
        Data
Version: 1.0.1
Authors@R: c(
    person("Cormac", "Monaghan", , "cormacmonaghan@protonmail.com", role = c("cph", "aut", "cre"),
           comment = c(ORCID = "0000-0001-9012-3060")),
           person("Rafael", "de Andrade Moral", role = c("aut"),
           comment = c(ORCID = "0000-0002-0875-3563")),
           person("Joanna", "McHugh Power", role = c("aut"),
           comment = c(ORCID = "0000-0002-7387-3107")))
URL: https://github.com/C-Monaghan/lwc2022,
        https://c-monaghan.github.io/lwc2022/
BugReports: https://github.com/C-Monaghan/lwc2022/issues
Language: en-US
Description: Generates the Langa-Weir classification of cognitive
        function for the 2022 Health and Retirement Study (HRS)
        cognition data. It is particularly useful for researchers
        studying cognitive aging who wish to work with the most recent
        release of HRS data. The package provides user-friendly
        functions for data preprocessing, scoring, and classification
        allowing users to easily apply the Langa-Weir classification
        system. For details regarding the; HRS
        <https://hrsdata.isr.umich.edu/> and Langa-Weir classifications
        <https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2022>.
License: MIT + file LICENSE
Encoding: UTF-8
Config/roxygen2/version: 8.0.0
Depends: R (>= 4.1.0)
Imports: dplyr
Suggests: knitr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-22 14:49:05 UTC; root
Author: Cormac Monaghan [cph, aut, cre] (ORCID:
        <https://orcid.org/0000-0001-9012-3060>), Rafael de Andrade
        Moral [aut] (ORCID: <https://orcid.org/0000-0002-0875-3563>),
        Joanna McHugh Power [aut] (ORCID:
        <https://orcid.org/0000-0002-7387-3107>)
Maintainer: Cormac Monaghan <cormacmonaghan@protonmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-22 14:30:33 UTC
RemoteUrl: https://github.com/cran/lwc2022
RemoteRef: HEAD
RemoteSha: e7f01df35066cb2127289fcbf7923f466348e144