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 [cre, aut, cph], Stefanie Muff [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=inlamemi to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4