stLMM: Bayesian Spatial and Space-Time Linear Mixed Models

Fits Bayesian linear mixed models for spatial and space-time data with fixed effects, independent and identically distributed (iid) grouped random effects, and structured latent processes. The formula interface supports first-order autoregressive (AR(1)) effects, dense Gaussian processes, nearest-neighbor Gaussian processes, proper and Leroux conditional autoregressive (CAR) effects, ordered directed acyclic graph autoregressive (DAGAR) effects, separable CAR-time and DAGAR-time effects, and spatially varying coefficients. The sampler uses sparse precision matrix calculations when available and includes post-fitting tools for latent process recovery, fitted values, prediction, pointwise log likelihoods, and posterior sample extraction. Method details include Datta et al. (2016) <doi:10.1080/01621459.2015.1044091>, Finley et al. (2019) <doi:10.1080/10618600.2018.1537924>, Datta et al. (2019) <doi:10.1214/19-BA1177>, and May and Finley (2025) <doi:10.1016/j.spasta.2025.100917>.

Version:	0.0.2
Depends:	R (≥ 4.4.0)
Imports:	BayesLogit (≥ 2.4), coda, Matrix (≥ 1.7-0), stats
LinkingTo:	BayesLogit (≥ 2.4), Matrix (≥ 1.7-0)
Suggests:	ggplot2, knitr, loo, quarto, sf, testthat (≥ 3.0.0)
Published:	2026-07-28
DOI:	10.32614/CRAN.package.stLMM (may not be active yet)
Author:	Andrew O. Finley [aut, cre], Sudipto Banerjee [ctb], Abhirup Datta [ctb], Paul B. May [ctb]
Maintainer:	Andrew O. Finley <finleya at msu.edu>
BugReports:	https://github.com/finleya/stLMM/issues
License:	GPL (≥ 3)
Copyright:	see file COPYRIGHTS
URL:	https://github.com/finleya/stLMM, https://finleya.github.io/stLMM/
NeedsCompilation:	yes
Materials:	README
In views:	MixedModels
CRAN checks:	stLMM results [issues need fixing before 2026-08-21]

Documentation:

Reference manual:	stLMM.html , stLMM.pdf
Vignettes:	01. Getting started with stLMM (source, R code) 02. Spatial NNGP models with stLMM (source, R code)

Downloads:

Package source:	stLMM_0.0.2.tar.gz
Windows binaries:	r-devel: stLMM_0.0.2.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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