inlamemi: 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 using the package.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: dplyr, ggplot2, rlang, stats, methods, scales
Suggests: INLA, knitr, testthat (≥ 3.0.0), tibble, rmarkdown, spelling
Published: 2024-10-31
DOI: 10.32614/CRAN.package.inlamemi
Author: Emma Skarstein ORCID iD [cre, aut, cph], Stefanie Muff ORCID iD [aut]
Maintainer: Emma Skarstein <emma at skarstein.no>
License: MIT + file LICENSE
URL: https://emmaskarstein.github.io/inlamemi/, https://github.com/emmaSkarstein/inlamemi
NeedsCompilation: no
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Language: en-US
Citation: inlamemi citation info
Materials: README, NEWS
CRAN checks: inlamemi results

Documentation:

Reference manual: inlamemi.html , inlamemi.pdf
Vignettes: How to avoid using inlamemi (source)
Influence of systolic blood pressure on coronary heart disease (source)
Modifying the default plot (source)
Multiple variables with measurement error and missingness (source)
Survival model with repeated systolic blood pressure measurements (source)
Simulated examples (source)
How are the models structured? (source)

Downloads:

Package source: inlamemi_1.1.0.tar.gz
Windows binaries: r-devel: inlamemi_1.1.0.zip, r-release: inlamemi_1.1.0.zip, r-oldrel: inlamemi_1.1.0.zip
macOS binaries: r-release (arm64): inlamemi_1.1.0.tgz, r-oldrel (arm64): inlamemi_1.1.0.tgz, r-release (x86_64): inlamemi_1.1.0.tgz, r-oldrel (x86_64): inlamemi_1.1.0.tgz
Old sources: inlamemi archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=inlamemi to link to this page.