Package: missr
Title: Classify Missing Data as MCAR, MAR, or MNAR
Version: 1.0.1.9000
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Repository: https://noahhellen.r-universe.dev
Date/Publication: 2025-06-04 22:44:22 UTC
RemoteUrl: https://github.com/noahhellen/missr
RemoteRef: HEAD
RemoteSha: de8a7bce98de39466c36e68c808c911f8481ab55
NeedsCompilation: no
Packaged: 2026-07-17 05:01:28 UTC; root
Author: Noah William Trelawny Hellen [aut, cre, cph]