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midasINLA

0.1.2Package record

Spatial MIDAS Models Using INLA

0packages depend
661downloads / year
2.3%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 1.4 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-10-02
  • ERROR3 OK, 2 ERROR2026-09-18
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 386 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
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

661
CRAN downloads in the past year
Rank #20,260 · ~2/day · ~55/mo
Daily download trend is not available in this view yet.
50030 days
66190 days
6611 year
Compare downloads with other packages →
Also on8 r2u1 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
234Commits
1Commit identities
234 commits · Last activity 2026-10-05
Responsiveness
not measured

Stars over time

2026-10-06 · 02026-10-12 · 1
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/stephen-villejo/midasinla on 2026-10-25.

Continuous integration (1)
GitHub Actions
Docs source (4)
README.Rmdpkgdown

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)

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing midasINLA adds 1 package (1 with compiled code, 207 KB of source tarballs). Heaviest: matrixStats 207 KB.

Depends (1)
R >= 4.2
Imports (3)
matrixStatsMatrixstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2026)
Author · added in 0.1.2
Author · added in 0.1.2
Releases (3)

Pick two releases to compare their code metrics.

  • 0.1.2Latest
    record
    2026-10-06 · current release · diff ↗ ·
    12 hours in CRAN's queue
    Listed in CRAN's incoming queue from 2026-10-05 20:05 to 2026-10-06 08:22 UTC, in 3 readings.
  • 0.1.1
    record
    2026-10-01 · diff ↗
  • 0.1.0
    record
    2026-09-17
  • R
    R 4.6.0 released · 2026-04-24
Across CRAN, the median accepted release of the past year spent 22 hours in the queue, 90% under 11 days.How queue time is measured

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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("midasINLA")
Villejo, S. J., Blangiardo, M., & Rue, H. (2026). midasINLA: Spatial MIDAS Models Using INLA (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.midasINLA

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for midasINLA version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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