{ "_id": "6a1f293db401979e73423ea4", "Package": "rts2", "Title": "Real-Time Disease Surveillance", "Version": "1.0.2", "Date": "2026-04-25", "Authors@R": "person(given = \"Sam\",\nfamily = \"Watson\",\nrole = c(\"aut\", \"cre\"),\nemail = \"s.i.watson@bham.ac.uk\",\ncomment = c(ORCID = \"0000-0002-8972-769X\"))", "Description": "Supports modelling real-time case data to facilitate the\nreal-time surveillance of infectious diseases and other point\nphenomena. The package provides automated computational grid\ngeneration over an area of interest with methods to map\ncovariates between geographies, model fitting including\nspatially aggregated case counts, and predictions and\nvisualisation. Both Bayesian and maximum likelihood methods are\nprovided. Log-Gaussian Cox Processes are described by Diggle et\nal. (2013) and we provide both the\nlow-rank approximation for Gaussian processes described by\nSolin and Särkkä (2020) and\nRiutort-Mayol et al (2023) and\nthe nearest neighbour Gaussian process described by Datta et al\n(2016) .", "License": "CC BY-SA 4.0", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Biarch": "true", "SystemRequirements": "GNU make", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-15 09:56:03 UTC", "User": "root" }, "Author": "Sam Watson [aut, cre] (ORCID:\n)", "Maintainer": "Sam Watson ", "Config/pak/sysreqs": "make", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-04-30 18:49:32 UTC", "RemoteUrl": "https://github.com/cran/rts2", "RemoteRef": "HEAD", "RemoteSha": "71f560d224226a8f315f535ec177bb47b9b00840", "MD5sum": "a285bb08f272370f5fbc900d790e10d0", "_user": "cran", "_type": "src", "_file": "rts2_1.0.2.tar.gz", "_fileid": "f2ff9c8b98378462467eef5e2daf73a17e4e5fc6e987ac6a2e242d7904f79b0c", "_filesize": 1366334, 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