Package: spmoran
Type: Package
Title: Fast Spatial and Spatio-Temporal Regression using Moran
        Eigenvectors
Version: 0.3.3
Date: 2024-12-05
Authors@R: person(given = "Daisuke",
                    family = "Murakami",
                    role = c("aut", "cre"),
                    email = "dmuraka@ism.ac.jp")
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Description: A collection of functions for estimating spatial and
        spatio-temporal regression models. Moran eigenvectors are used
        as spatial basis functions to efficiently approximate spatially
        dependent Gaussian processes (i.e., random effects eigenvector
        spatial filtering; see Murakami and Griffith 2015 <doi:
        10.1007/s10109-015-0213-7>). The implemented models include
        linear regression with residual spatial dependence,
        spatially/spatio-temporally varying coefficient models
        (Murakami et al., 2017, 2024;
        <doi:10.1016/j.spasta.2016.12.001>,<doi:10.48550/arXiv.2410.07229>),
        spatially filtered unconditional quantile regression (Murakami
        and Seya, 2019 <doi:10.1002/env.2556>), Gaussian and
        non-Gaussian spatial mixed models through
        compositionally-warping (Murakami et al. 2021,
        <doi:10.1016/j.spasta.2021.100520>).
License: GPL (>= 2)
Encoding: UTF-8
Imports: sf, fields, vegan, Matrix, doParallel, foreach, ggplot2,
        spdep, rARPACK, RColorBrewer, splines, FNN, methods
Suggests: R.rsp, spData (>= 2.3.1)
VignetteBuilder: R.rsp
URL: https://github.com/dmuraka/spmoran
NeedsCompilation: no
Author: Daisuke Murakami [aut, cre]
Packaged: 2026-10-14 09:45:12 UTC; root
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://dmuraka.r-universe.dev
Date/Publication: 2024-12-05 08:30:02 UTC
RemoteUrl: https://github.com/cran/spmoran
RemoteRef: HEAD
RemoteSha: ba5a69a5ddaf33f6b5c0c16b4e6338c27e9835f7
Depends: R (>= 4.2.0)