Package: missr
Title: Classify Missing Data as MCAR, MAR, or MNAR
Version: 1.0.1
Authors@R: 
    person(c("Noah", "William", "Trelawny"), "Hellen", , "noahhellen@gmail.com", role = c("aut", "cre", "cph"))
Maintainer: Noah William Trelawny Hellen <noahhellen@gmail.com>
Description: Classify missing data as missing completely at random (MCAR), missing
    at random (MAR), or missing not at random (MNAR). This step is required before
    handling missing data (e.g. mean imputation) so that bias is not introduced.
    See Little (1988) <doi:10.1080/01621459.1988.10478722> for the statistical
    rationale for the methods used.
License: MIT + file LICENSE
URL: https://github.com/NoahHellen/missr,
        https://noahhellen.github.io/missr/
BugReports: https://github.com/NoahHellen/missr/issues
Depends: R (>= 3.5)
Imports: norm, tibble, lifecycle
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-06-04 10:43:02 UTC; noahhellen
Author: Noah William Trelawny Hellen [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-06-04 11:20:01 UTC
Built: R 4.6.0; ; 2026-04-26 08:47:59 UTC; unix
