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cff-version: 1.2.0
message: 'To cite package "stLMM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'stLMM: Bayesian Spatial and Space-Time Linear Mixed Models'
version: 0.0.4
doi: 10.32614/CRAN.package.stLMM
abstract: 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) <https://doi.org/10.1080/01621459.2015.1044091>,
  Finley et al. (2019) <https://doi.org/10.1080/10618600.2018.1537924>, Datta et al.
  (2019) <https://doi.org/10.1214/19-BA1177>, and May and Finley (2025) <https://doi.org/10.1016/j.spasta.2025.100917>.
authors:
- family-names: Finley
  given-names: Andrew O.
  email: finleya@msu.edu
repository: https://finleya.r-universe.dev
repository-code: https://github.com/finleya/stLMM
commit: a60ef7e0fdc349a371b5fee6ad19984e8df4e01b
url: https://finleya.github.io/stLMM/
date-released: '2026-09-11'
contact:
- family-names: Finley
  given-names: Andrew O.
  email: finleya@msu.edu