Package: FRK
Type: Package
Title: Fixed Rank Kriging
Version: 2.3.2
Date: 2026-01-15
Authors@R: c(
    person("Andrew", "Zammit-Mangion", , "andrewzm@gmail.com", c("aut", "cre")),
    person("Matthew", "Sainsbury-Dale", , "msdale@uow.edu.au", c("aut")))
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>
VignetteBuilder: knitr
Description: A tool for spatial/spatio-temporal modelling and
        prediction with large datasets. The approach models the field,
        and hence the covariance function, using a set of basis
        functions. This fixed-rank basis-function representation
        facilitates the modelling of big data, and the method naturally
        allows for non-stationary, anisotropic covariance functions.
        Discretisation of the spatial domain into so-called basic areal
        units (BAUs) facilitates the use of observations with varying
        support (i.e., both point-referenced and areal supports,
        potentially simultaneously), and prediction over arbitrary
        user-specified regions. `FRK` also supports inference over
        various manifolds, including the 2D plane and 3D sphere, and it
        provides helper functions to model, fit, predict, and plot with
        relative ease. Version 2.0.0 and above also supports the
        modelling of non-Gaussian data (e.g., Poisson, binomial,
        negative-binomial, gamma, and inverse-Gaussian) by employing a
        generalised linear mixed model (GLMM) framework. Zammit-Mangion
        and Cressie <doi:10.18637/jss.v098.i04> describe `FRK` in a
        Gaussian setting, and detail its use of basis functions and
        BAUs, while Sainsbury-Dale, Zammit-Mangion, and Cressie
        <doi:10.18637/jss.v108.i10> describe `FRK` in a non-Gaussian
        setting; two vignettes are available that summarise these
        papers and provide additional examples.
URL: https://andrewzm.github.io/FRK/, https://github.com/andrewzm/FRK/
BugReports: https://github.com/andrewzm/FRK/issues/
Depends: R (>= 3.5.0)
Suggests: covr, dggrids, gstat, knitr, lme4, mapproj, parallel, sf,
        spdep, splancs, testthat, verification
Imports: digest, dplyr, fmesher, ggplot2, grDevices, Hmisc (>= 4.1),
        Matrix, methods, plyr, Rcpp (>= 0.12.12), sp, spacetime,
        sparseinv, statmod, stats, TMB, utils, ggpubr, reshape2, scales
Additional_repositories: https://andrewzm.github.io/dggrids-repo/
License: GPL (>= 2)
NeedsCompilation: yes
LazyData: true
RoxygenNote: 7.3.2
LinkingTo: Rcpp, TMB, RcppEigen
Encoding: UTF-8
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        make libicu-dev libuv1-dev libssl-dev libproj-dev
        libsqlite3-dev libudunits2-dev
Repository: https://andrewzm.r-universe.dev
Date/Publication: 2026-01-15 02:06:07 UTC
RemoteUrl: https://github.com/andrewzm/frk
RemoteRef: HEAD
RemoteSha: e1763ee55d46ffe2e5bfa7c5b9c63b603f581265
Packaged: 2026-06-24 09:30:29 UTC; root
Author: Andrew Zammit-Mangion [aut, cre],
  Matthew Sainsbury-Dale [aut]