modi

cranv0.1.3

Multivariate Outlier Detection and Imputation for Incomplete Survey Data. Algorithms for multivariate outlier detection when missing values occur. Algorithms are based on Mahalanobis distance or data depth. Imputation is based on the multivariate normal model or uses nearest neighbour donors. The algorithms take sample designs, in particular weighting, into account. The m

License MIT + file LICENSE0 versions1 maintainers5 deps251 weekly dl
martinSter/modi
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[email protected] is safe to use (health: 40/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
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0
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First published · 2025-08-22 13:18:30

Last updated · 2025-08-22T12:10:02+00:00

modi — Health Score 40/100 | DepScope