Provides tools for fitting spatial Mixed Data Sampling (MIDAS) regression models using Integrated Nested Laplace Approximation (INLA). 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: | 0.1.0 |
| Depends: | R (≥ 4.2) |
| Imports: | matrixStats, Matrix, stats |
| Suggests: | INLA, knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, ggplot2, tidyr |
| Published: | 2026-09-17 |
| DOI: | 10.32614/CRAN.package.midasINLA (may not be active yet) |
| 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 |
| Reference manual: | midasINLA.html , midasINLA.pdf |
| Vignettes: |
Getting started with midasINLA (source, R code) |
| Package source: | midasINLA_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, 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 |
Please use the canonical form https://CRAN.R-project.org/package=midasINLA to link to this page.