LMMsolver/DESCRIPTION at main · Biometris/LMMsolver · GitHub

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Package: LMMsolver
Type: Package
Title: Linear Mixed Models with Sparse Matrix Methods and Smoothing
Description: Provides tools for fitting linear mixed models using sparse matrix
    methods and variance component estimation. Applications include spline-based
    modeling of spatial and temporal trends using penalized splines (Boer, 2023)
    <doi:10.1177/1471082X231178591>.
Version: 1.0.12
Date: 2025-12-03
Authors@R: c(person(given = "Martin",
                    family = "Boer",
                    email = "martin.boer@wur.nl",
                    role = "aut",
                    comment = c(ORCID = "0000-0002-1879-4588")),
            person(given = "Bart-Jan",
                   family = "van Rossum",
                   email = "bart-jan.vanrossum@wur.nl",
                   role = c("aut", "cre"),
                   comment = c(ORCID = "0000-0002-8673-2514")))
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports:
    Matrix,
    methods,
    Rcpp (>= 0.10.4),
    spam,
    splines
LinkingTo: Rcpp
RoxygenNote: 7.3.3
Suggests:
    rmarkdown,
    knitr,
    tinytest,
    tidyr,
    ggplot2,
    maps,
    sf
VignetteBuilder: knitr
URL: https://biometris.github.io/LMMsolver/index.html, https://github.com/Biometris/LMMsolver/
BugReports: https://github.com/Biometris/LMMsolver/issues