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: | 0.1.1 |
| Depends: | R (≥ 4.2) |
| Imports: | matrixStats, Matrix, stats |
| Suggests: | INLA, knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, ggplot2, tidyr |
| Published: | 2026-10-01 |
| DOI: | 10.32614/CRAN.package.midasINLA |
| Author: | Stephen Jun Villejo [aut, cre] |
| Maintainer: | Stephen Jun Villejo <s.villejo at imperial.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Additional_repositories: | https://inla.r-inla-download.org/R/stable |
| Materials: | README |
| CRAN checks: | midasINLA results [issues need fixing before 2026-10-19] |
| Reference manual: | midasINLA.html , midasINLA.pdf |
| Vignettes: |
Getting started with midasINLA (source, R code) |
| Package source: | midasINLA_0.1.1.tar.gz |
| Windows binaries: | r-devel: midasINLA_0.1.0.zip, r-release: midasINLA_0.1.0.zip, r-oldrel: midasINLA_0.1.0.zip |
| macOS binaries: | r-release (arm64): midasINLA_0.1.0.tgz, r-oldrel (arm64): midasINLA_0.1.0.tgz, r-release (x86_64): midasINLA_0.1.0.tgz, r-oldrel (x86_64): midasINLA_0.1.0.tgz |
| Old sources: | midasINLA archive |
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