inlamemi

cranv1.1.0

Missing Data and Measurement Error Modelling in INLA. Facilitates fitting measurement error and missing data imputation models using integrated nested Laplace approximations, according to the method described in Skarstein, Martino and Muff (2023) <doi:10.1002/bimj.202300078>. See Skarstein and Muff (2024) <doi:10.48550/arXiv.2406.08172> for details on

License MIT + file LICENSE0 versions1 maintainers6 deps150 weekly dl
emmaSkarstein/inlamemi
41
/ 100
Health
safe to use

[email protected] is safe to use (health: 41/100)

Health breakdown0 – 100
5/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2024-10-31 16:50:23

Last updated · 2024-10-31T15:10:02+00:00

inlamemi — Health Score 41/100 | DepScope