README.md

In becarioprecario/MIINLA: Multiple Imputation with INLA

Analysis of missing values with INLA

This package implements new latent effects to be used with the INLA package for the imputation of missing values. The methodology is described in this paper:

• Gómez-Rubio, Virgilio; Cameletti, Michela; Blangiardo, Marta. “Missing data analysis and imputation via latent Gaussian Markov random fields”. SORT-Statistics and Operations Research Transactions, 2022, Vol. 46, Num. 2, pp. 217-244, https://doi.org/10.2436/20.8080.02.124.

The package can be installed as follows:

library(devtools)
install_github("becarioprecario/MIINLA")

becarioprecario/MIINLA documentation built on June 6, 2023, 12:45 a.m.