missr-package: missr: Classify Missing Data as MCAR, MAR, or MNAR

In missr: Classify Missing Data as MCAR, MAR, or MNAR

missr: Classify Missing Data as MCAR, MAR, or MNAR

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.1988.10478722")} for the statistical rationale for the methods used.

Author(s)

Maintainer: Noah William Trelawny Hellen [e-mail] [copyright holder]

See Also

Useful links:

• https://github.com/NoahHellen/missr

• https://noahhellen.github.io/missr/

• Report bugs at https://github.com/NoahHellen/missr/issues

missr documentation built on June 8, 2025, 12:26 p.m.