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missr  

Classify Missing Data as MCAR, MAR, or MNAR
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("missr", "1.0.1")



Attach the package and use:
library("missr")
Maintained by
Noah William Trelawny Hellen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-27
Latest Update: 2025-06-04
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.
How to cite:
Noah William Trelawny Hellen (2025). missr: Classify Missing Data as MCAR, MAR, or MNAR. R package version 1.0.1, https://cran.r-project.org/web/packages/missr. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 1.0.0 (2025-05-27 10:10)
Other packages that cited missr R package
View missr citation profile
Other R packages that missr depends, imports, suggests or enhances
Complete documentation for missr
Functions, R codes and Examples using the missr R package
Full missr package functions and examples
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