CGMissingDataR

cranv0.0.1

Missingness Benchmark for Continuous Glucose Monitoring Data. Evaluates predictive performance under feature-level missingness in repeated-measures continuous glucose monitoring-like data. The benchmark injects missing values at user-specified rates, imputes incomplete feature matrices using an iterative chained-equations approach inspired by multivariate impu

License GPL (>= 2)0 versions1 maintainers4 deps57 weekly dl
saraswatsh/CGMissingDataR
47
/ 100
Health
safe to use

[email protected] is safe to use (health: 47/100)

Health breakdown0 – 100
20/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2026-02-03 11:20:41

Last updated · 2026-02-03T09:30:15+00:00

CGMissingDataR — Health Score 47/100 | DepScope