midasINLA: Spatial MIDAS Models Using INLA

Provides tools for fitting spatial Mixed-Data Sampling (MIDAS) regression models using Integrated Nested Laplace Approximation (INLA) (Rue et al., 2009) <doi:10.1111/j.1467-9868.2008.00700.x>. The package is designed for settings where responses and explanatory variables are observed at different temporal frequencies and supports both constant and spatially varying regression coefficients.

Version:	0.1.2
Depends:	R (≥ 4.2)
Imports:	matrixStats, Matrix, stats
Suggests:	INLA, knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, ggplot2, tidyr
Published:	2026-10-06
DOI:	10.32614/CRAN.package.midasINLA
Author:	Stephen Jun Villejo [aut, cre], Håvard Rue [aut], Marta Blangiardo [aut]
Maintainer:	Stephen Jun Villejo <s.villejo at imperial.ac.uk>
License:	GPL-3
URL:	https://stephen-villejo.github.io/midasINLA/
NeedsCompilation:	no
Additional_repositories:	https://inla.r-inla-download.org/R/stable
Materials:	README
CRAN checks:	midasINLA results

Documentation:

Reference manual:	midasINLA.html , midasINLA.pdf
Vignettes:	Getting started with midasINLA (source, R code)

Downloads:

Package source:	midasINLA_0.1.2.tar.gz
Windows binaries:	r-devel: midasINLA_0.1.0.zip, r-release: midasINLA_0.1.0.zip, r-oldrel: midasINLA_0.1.2.zip
macOS binaries:	r-release (arm64): midasINLA_0.1.2.tgz, r-oldrel (arm64): midasINLA_0.1.2.tgz, r-release (x86_64): midasINLA_0.1.2.tgz, r-oldrel (x86_64): midasINLA_0.1.2.tgz
Old sources:	midasINLA archive

Linking:

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