Package: inlamemi Type: Package Title: Missing Data and Measurement Error Modelling in INLA Version: 1.1.0 Authors@R: c( person("Emma", "Skarstein", email = "emma@skarstein.no", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-6347-855X")), person("Stefanie", "Muff", role = c("aut"), comment = c(ORCID = "0000-0002-8425-0757")) ) Description: 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) . See Skarstein and Muff (2024) for details on using the package. License: MIT + file LICENSE Encoding: UTF-8 LazyData: true VignetteBuilder: knitr RoxygenNote: 7.3.1 Suggests: INLA, knitr, testthat (>= 3.0.0), tibble, rmarkdown, spelling Additional_repositories: https://inla.r-inla-download.org/R/stable/ Config/testthat/edition: 3 Imports: dplyr, ggplot2, rlang, stats, methods, scales Depends: R (>= 4.1.0) URL: https://emmaskarstein.github.io/inlamemi/, https://github.com/emmaSkarstein/inlamemi Language: en-US Repository: https://emmaskarstein.r-universe.dev Date/Publication: 2024-11-06 14:25:48 UTC RemoteUrl: https://github.com/emmaskarstein/inlamemi RemoteRef: HEAD RemoteSha: 018be39fbfacbbc991755961b6853c043e1c0e01 NeedsCompilation: no Packaged: 2026-07-14 09:09:52 UTC; root Author: Emma Skarstein [cre, aut, cph] (ORCID: ), Stefanie Muff [aut] (ORCID: ) Maintainer: Emma Skarstein