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Performance-critical\nsteps (aggregated correlation assembly, 'MALA' sampling, the\nMonte Carlo likelihood, and the Kronecker-structured space-time\nlikelihood) are implemented in C++ via 'RcppArmadillo'.\nProvides a one-line, 'glm'-like interface and statistical\nextensions including a nugget term, general 'Matern'\nsmoothness, raster and misaligned covariates, restricted\nspatial regression, importance-sampling diagnostics and\nre-anchored 'MCML'.", "License": "GPL-2 | GPL-3", "Encoding": "UTF-8", "Language": "en-GB", "LazyData": "true", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "RoxygenNote": "7.3.1", "URL": "https://github.com/olatunjijohnson/SDALGCP2,\nhttps://olatunjijohnson.github.io/SDALGCP2/", "BugReports": "https://github.com/olatunjijohnson/SDALGCP2/issues", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-02 21:19:57 UTC", "User": "root" }, "Author": "Olatunji Johnson [aut, cre], Emanuele Giorgi [aut], Peter\nDiggle [aut]", "Maintainer": "Olatunji 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