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Dynamic ICAR Spatiotemporal Factor Models

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2.6Kdownloads / year
–test coverage
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Overview

About

Bayesian factor models are effective tools for dimension reduction. This is especially applicable to multivariate large-scale datasets. It allows researchers to understand the latent factors of the data which are the linear or non-linear combination of the variables. Dynamic Intrinsic Conditional Autocorrelative Priors (ICAR) Spatiotemporal Factor Models 'DIFM' package provides function to run Markov Chain Monte Carlo (MCMC), evaluation methods and visual plots from Shin and Ferreira (2023)doi:10.1016/j.spasta.2023.100763. Our method is a class of Bayesian factor model which can account for spatial and temporal correlations. By incorporating these correlations, the model can capture specific behaviors and provide predictions.

Install

Health

CRAN checks
13OK
Slowest check: 8.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-12
  • ERROR12 OK, 1 ERROR2026-05-05
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
18includes a package overview page
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
6%
Vignettes (1)

Downloads

2.6K
CRAN downloads in the past year
Rank #18,734 · ~7/day · ~221/mo
Daily download trend is not available in this view yet.
26330 days
69090 days
2.6K1 year
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Also on398 r2u9 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing DIFM adds 21 packages (15 with compiled code, 34 MB of source tarballs). Heaviest: sf 9.3 MB, spdep 4.5 MB, sp 4.3 MB.

Depends (1)
R >= 2.10
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0 (2024)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    record
    2025-11-11 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0
    record
    2024-04-12
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-04-12
Total releases
2 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
27 KB / 3 files
Download size
335 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DIFM")
Shin, H., & Ferreira, M. (2025). DIFM: Dynamic ICAR Spatiotemporal Factor Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.DIFM

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 DIFM version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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