Package: inlabru
Type: Package
Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Version: 2.14.1
Authors@R: c(
  person("Finn", "Lindgren", email = "finn.lindgren@gmail.com",
         role = c("aut", "cre", "cph"),
         comment = c(ORCID = "0000-0002-5833-2011",
                     "Finn Lindgren continued development of the main code")),
  person("Fabian E.", "Bachl", email = "bachlfab@gmail.com",
         role = c("aut", "cph"),
         comment = "Fabian Bachl wrote the main code"),
  person("David L.", "Borchers", email = "dlb@st-andrews.ac.uk",
         role = c("ctb", "dtc", "cph"),
         comment = "David Borchers wrote code for Gorilla data import and sampling, multiplot tool"),
  person("Daniel", "Simpson", email = "dp.simpson@gmail.com",
         role = c("ctb", "cph"),
         comment = "Daniel Simpson wrote the basic LGCP sampling method"),
  person("Lindesay", "Scott-Howard", email = "lass@st-andrews.ac.uk",
         role = c("ctb", "dtc", "cph"),
         comment = "Lindesay Scott-Howard provided MRSea data import code"),
  person("Seaton", "Andy", email = "andy.e.seaton@gmail.com", role = c("ctb"),
         comment = "Andy Seaton provided testing, bugfixes, and vignettes"),
  person("Suen", "Man Ho", email = "m.suen19@imperial.ac.uk", role = c("ctb", "cph"),
         comment = c(ORCID = "0009-0003-2281-0776",
                     "Man Ho Suen contributed features for aggregated responses and vignette updates")),
  person("Roudier", "Pierre", email = "", role = c("ctb", "cph"),
         comment = "Pierre Roudier contributed general quantile summaries"),
  person("Meehan", "Tim", email = "tmeeha@gmail.com", role = c("ctb", "cph"),
         comment = "Tim Meehan contributed the SVC vignette and robins data"),
  person("Reddy Peddinenikalva", "Niharika", role = c("ctb", "cph"),
         comment = "Niharika Peddinenikalva contributed the LGCP residuals vignette"),
  person("Perepolkin", "Dmytro", email = "dperepolkin@gmail.com",
         role = c("ctb", "cph"),
         comment = "Dmytro Perepolkin contributed the ZIP/ZAP vignette")
  )
URL: http://www.inlabru.org, https://inlabru-org.github.io/inlabru/,
        https://github.com/inlabru-org/inlabru
BugReports: https://github.com/inlabru-org/inlabru/issues
Description: Facilitates spatial and general latent Gaussian modeling using
  integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>).
  Additionally, extends the GAM-like model class to more general nonlinear predictor
  expressions, and implements a log Gaussian Cox process likelihood for 
  modeling univariate and spatial point processes based on ecological survey data.
  Model components are specified with general inputs and mapping methods to the
  latent variables, and the predictors are specified via general R expressions,
  with separate expressions for each observation likelihood model in
  multi-likelihood models. A prediction method based on fast Monte Carlo sampling
  allows posterior prediction of general expressions of the latent variables.
  Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019)
  <doi:10.1111/2041-210X.13168>.
License: GPL (>= 2)
Additional_repositories: https://inla.r-inla-download.org/R/testing
RoxygenNote: 7.3.3
Encoding: UTF-8
Depends: methods, R (>= 4.1.0), stats
Imports: dplyr, fmesher (>= 0.7.0), glue, lifecycle, MatrixModels,
        Matrix, plyr, rlang, sf, tibble, utils, withr, Rcpp
Suggests: covr, ggplot2, graphics, INLA (>= 23.01.31), knitr, maps,
        mgcv, patchwork, raster, RColorBrewer, rgl, rmarkdown, scales,
        scoringRules, shiny, sn, sp (>= 2.1), spatstat.geom,
        spatstat.data, sphereplot, splancs, terra (>= 1.7-66),
        tidyterra, testthat (>= 3.2.0), tidyr, DiagrammeR
Enhances: stars
Config/testthat/parallel: true
Config/testthat/edition: 3
Collate: '0_inlabru_envir.R' 'RcppExports.R' 'access_trace.R'
        'access_trace_methods.R' 'bru.gof.R' 'bru.inference.R'
        'bru_conversion.R' 'bru_index.R' 'deprecated.R' 'bru_input.R'
        'bru_is.R' 'bru_sp.R' 'data.Poisson1_1D.R' 'data.Poisson2_1D.R'
        'data.Poisson3_1D.R' 'data.gorillas.R' 'data.mexdolphin.R'
        'data.mrsea.R' 'data.robins_subset.R' 'data.shrimp.R'
        'data.toygroups.R' 'data.toypoints.R' 'deltaIC.R' 'effect.R'
        'environment.R' 'fmesher.R' 'ggplot.R' 'hexagon_tiling.R'
        'mappers.R' 'hierarchical_basis.R' 'inla.R' 'inlabru-package.R'
        'local_testthat.R' 'mapper_collect.R' 'mapper_repeat.R'
        'mapper_sum.R' 'model.R' 'nlinla.R' 'object_upgrade.R'
        'plotsample.R' 'pred_expr.R' 'rgl.R' 'sampling.R' 'spatstat.R'
        'spde.R' 'stack.R' 'track_plotting.R' 'transformation.R'
        'used.R' 'utils.R'
VignetteBuilder: knitr
BuildVignettes: true
LazyData: true
LazyDataCompression: xz
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-04-30 12:27:54 UTC; flindgre
Author: Finn Lindgren [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued
    development of the main code),
  Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code),
  David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for
    Gorilla data import and sampling, multiplot tool),
  Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling
    method),
  Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided
    MRSea data import code),
  Seaton Andy [ctb] (Andy Seaton provided testing, bugfixes, and
    vignettes),
  Suen Man Ho [ctb, cph] (ORCID: <https://orcid.org/0009-0003-2281-0776>,
    Man Ho Suen contributed features for aggregated responses and
    vignette updates),
  Roudier Pierre [ctb, cph] (Pierre Roudier contributed general quantile
    summaries),
  Meehan Tim [ctb, cph] (Tim Meehan contributed the SVC vignette and
    robins data),
  Reddy Peddinenikalva Niharika [ctb, cph] (Niharika Peddinenikalva
    contributed the LGCP residuals vignette),
  Perepolkin Dmytro [ctb, cph] (Dmytro Perepolkin contributed the ZIP/ZAP
    vignette)
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-01 05:10:22 UTC
