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
NeedsCompilation: yes
Packaged: 2025-12-05 07:49:25 UTC; rossu027
Author: Martin Boer [aut] (ORCID: <https://orcid.org/0000-0002-1879-4588>),
  Bart-Jan van Rossum [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8673-2514>)
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>
Repository: CRAN
Date/Publication: 2025-12-05 08:20:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-06 02:06:12 UTC; windows
Archs: x64
