Package: stLMM
Type: Package
Title: Bayesian Spatial and Space-Time Linear Mixed Models
Version: 0.0.4
Authors@R: c(
    person("Andrew O.", "Finley", role = c("aut", "cre"),
           email = "finleya@msu.edu"),
    person("Sudipto", "Banerjee", role = "ctb",
           email = "abhidatta@jhu.edu"),
    person("Abhirup", "Datta", role = "ctb",
           email = "abhidatta@jhu.edu"),
    person("Paul B.", "May", role = "ctb",
           email = "Paul.May@sdsmt.edu"))
Author: Andrew O. Finley [aut, cre], Sudipto Banerjee [ctb], Abhirup
        Datta [ctb], Paul B. May [ctb]
Maintainer: Andrew O. Finley <finleya@msu.edu>
Description: 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>.
URL: https://github.com/finleya/stLMM, https://finleya.github.io/stLMM/
BugReports: https://github.com/finleya/stLMM/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
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)
VignetteBuilder: quarto
Config/testthat/edition: 3
Config/Needs/website: dplyr, kableExtra, lme4, lwgeom, nimble,
        patchwork, RhpcBLASctl, spdep, tidyr, tidyverse
Repository: https://finleya.r-universe.dev
Date/Publication: 2026-09-11 12:09:52 UTC
RemoteUrl: https://github.com/finleya/stlmm
RemoteRef: HEAD
RemoteSha: a60ef7e0fdc349a371b5fee6ad19984e8df4e01b
NeedsCompilation: yes
Packaged: 2026-10-11 10:30:26 UTC; root