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inlamemi  

Missing Data and Measurement Error Modelling in INLA
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]
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)
Other packages that cited inlamemi R package
View inlamemi citation profile
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Complete documentation for inlamemi
Functions, R codes and Examples using the inlamemi R package
Full inlamemi package functions and examples
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