Spatial MIDAS Models Using INLA
Overview
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.
Install
Health
- OK13 OK2026-10-02
- ERROR3 OK, 2 ERROR2026-09-18
Documentation
- Help pages
- 7
- Examples that run
- 20%1 run in a plain check (under a condition) · 4 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
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Checks run against github.com/stephen-villejo/midasinla on 2026-10-25.
GitHub Pages site last deployed 2026-10-05 · The repository has a site deploy workflow
pkgdown site last built 2026-10-05, before release 0.1.2 (2026-10-06)
Dependencies
Installing midasINLA adds 1 package (1 with compiled code, 207 KB of source tarballs). Heaviest: matrixStats 207 KB.
Code & Tests
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Package metadata
- First published
- 2026-09-17
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Additional repositories
- inla.r-inla-download.org
- Minimum R
- ≥ 4.2
- Bundled data
- 1.5 MB / 2 files
- Download size
- 2.6 MB
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