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) . Version: 1.0.13 Date: 2026-05-18 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 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 Config/roxygen2/version: 8.0.0 Repository: https://biometris.r-universe.dev Date/Publication: 2026-05-20 08:14:01 UTC RemoteUrl: https://github.com/biometris/lmmsolver RemoteRef: HEAD RemoteSha: 5d278027b9d09e541953f6b67e8f79282fae990b NeedsCompilation: yes Packaged: 2026-06-24 04:57:55 UTC; root Author: Martin Boer [aut] (ORCID: ), Bart-Jan van Rossum [aut, cre] (ORCID: ) Maintainer: Bart-Jan van Rossum