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inlamemi
View on CRAN: Click
here
Download and install inlamemi package within the R console
Install from CRAN:
install.packages("inlamemi")
Install from Github:
library("remotes")
install_github("cran/inlamemi")
Install by package version:
library("remotes")
install_version("inlamemi", "1.1.0")
Attach the package and use:
library("inlamemi")
Maintained by
Emma Skarstein
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.inlamemi . https://emmaskarstein.github.io/inlamemi/ . https://github.com/emmaSkarstein/inlamemi . inlamemi citation info . inlamemi results . inlamemi.pdf . How to avoid using inlamemi . inlamemi_1.1.0.tar.gz . inlamemi_1.1.0.zip . inlamemi_1.1.0.zip . inlamemi_1.1.0.tgz . inlamemi_1.1.0.tgz . inlamemi_1.1.0.tgz . inlamemi_1.1.0.tgz . inlamemi archive . https://CRAN.R-project.org/package=inlamemi .
First Published: 2024-06-24
Latest Update: 2024-06-24
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) <doi:10.1002/bimj.202300078>. See Skarstein and Muff (2024) <doi:10.48550/arXiv.2406.08172> for details on using the package.
How to cite:
Emma Skarstein (2024). inlamemi: Missing Data and Measurement Error Modelling in INLA. R package version 1.1.0, https://cran.r-project.org/web/packages/inlamemi. Accessed 12 Feb. 2025.
Previous versions and publish date:
1.0.0 (2024-06-24 17:00)
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