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INLAtools  

Functionalities for the 'INLA' Package
View on CRAN: Click here


Download and install INLAtools package within the R console
Install from CRAN:
install.packages("INLAtools")

Install from Github:
library("remotes")
install_github("cran/INLAtools")

Install by package version:
library("remotes")
install_version("INLAtools", "0.0.2")



Attach the package and use:
library("INLAtools")
Maintained by
Elias Teixeira Krainski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-02
Latest Update: 2025-06-18
Description:
Contain code to work with latent Gaussian Markov random field (GMRF) models. Queries for the 'cgeneric' interface, specified as a way to implement new GMRF models to be fitted as model components in the 'INLA' package (<https://www.r-inla.org>). The implemented functionalities leverage the use of 'cgeneric' models and provide a way to debug the code as well to work with the prior for the model parameters and to sample from it. A Kronecker product method is also implemented to work with the four possible combinations between a 'cgeneric' and a 'rgeneric' model.
How to cite:
Elias Teixeira Krainski (2025). INLAtools: Functionalities for the 'INLA' Package. R package version 0.0.2, https://cran.r-project.org/web/packages/INLAtools. Accessed 12 Jun. 2025.
Previous versions and publish date:
0.0.1 (2025-06-02 15:02)
Other packages that cited INLAtools R package
View INLAtools citation profile
Other R packages that INLAtools depends, imports, suggests or enhances
Complete documentation for INLAtools
Functions, R codes and Examples using the INLAtools R package
Full INLAtools package functions and examples
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