{ "_id": "6a1020b1acfb0bcc41c8bb87", "Package": "RAC", "Version": "1.5.5", "Title": "R Package for Aqua Culture", "Authors@R": "c(person(\"Baldan\", \"D.\", role = c(\"aut\", \"cre\"),\nemail = \"damiano.baldan91@gmail.com\"),\nperson(\"Palazzo\", \"D.\", role = \"ctb\"),\nperson(\"Porporato\", \"E.M.D\", role = \"ctb\"),\nperson(\"Brigolin\", \"D.\", role = \"ctb\"))", "Maintainer": "Baldan D. ", "Encoding": "UTF-8", "Description": "Solves the individual bioenergetic balance for different\naquaculture sea fish (Sea Bream and Sea Bass; Brigolin et al.,\n2014 ) and shellfish (Mussel and Clam;\nBrigolin et al., 2009 ;\nSolidoro et al., 2000 ). Allows for\nspatialized model runs and population simulations.", "License": "MIT + file LICENSE", "RoxygenNote": "7.2.3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libproj-dev\nlibsqlite3-dev", "Repository": "https://damianobaldan.r-universe.dev", "Date/Publication": "2023-05-02 10:23:59 UTC", "RemoteUrl": "https://github.com/damianobaldan/rac", "RemoteRef": "HEAD", "RemoteSha": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-14 06:03:28 UTC", "User": "root" }, "Author": "Baldan D. [aut, cre],\nPalazzo D. [ctb],\nPorporato E.M.D [ctb],\nBrigolin D. [ctb]", "MD5sum": "61b53a3c620c6b7f4480127297b7a86e", "_user": "damianobaldan", "_type": "src", "_file": "RAC_1.5.5.tar.gz", "_fileid": "0382b8a6ff1aaf2afd348986136be11e86e08134538254cf3466594c0094d790", "_filesize": 848985, "_sha256": "0382b8a6ff1aaf2afd348986136be11e86e08134538254cf3466594c0094d790", "_created": "2026-05-14T06:03:28.000Z", "_published": "2026-05-22T09:24:01.925Z", "_distro": "noble", "_jobs": [ { "job": 77352059622, "time": 226, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6988277684" }, { "job": 77352059973, "time": 235, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6988281147" }, { "job": 77352059628, "time": 296, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6988283546" }, { "job": 77352059435, "time": 171, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6988263295" }, { "job": 77352058853, "time": 197, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6988230711" }, { "job": 77352059094, "time": 116, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7157182568" }, { "job": 77352059556, "time": 192, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6988270386" }, { "job": 77352059756, "time": 203, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "6988273349" }, { "job": 77352059565, "time": 215, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "6988275318" } ], "_buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/damianobaldan/rac", "_commit": { "id": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "author": "damianobaldan ", "committer": "damianobaldan ", "message": "update readme\n", "time": 1683023039 }, "_maintainer": { "name": "Baldan D.", "email": "damiano.baldan91@gmail.com", "login": "damianobaldan", "uuid": 96196535 }, "_registered": true, "_dependencies": [ { "package": "matrixStats", "role": "Imports" }, { "package": "rstudioapi", "role": "Imports" }, { "package": "plotrix", "role": "Imports" }, { "package": "raster", "role": "Imports" }, { "package": "sp", "role": "Imports" }, { "package": "MASS", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "damianobaldan", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_contributors": [ { "user": "damianobaldan", "count": 8, "uuid": 96196535 } ], "_userbio": { "uuid": 96196535, "type": "user", "name": "Damiano Baldan", "description": "Reasercher in the field of freshwater and marine ecology. Main interests: community ecology, landscape fragmentation." }, "_downloads": { "count": 213, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RAC" }, "_mentions": 7, "_devurl": "https://github.com/damianobaldan/rac", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/RAC.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/damianobaldan/rac", "_realowner": "damianobaldan", "_cranurl": true, "_releases": [ { "version": "1.0.1", "date": "2016-10-15" }, { "version": "1.1.1", "date": "2017-03-20" }, { "version": "1.5", "date": "2018-05-02" }, { "version": "1.5.5", "date": "2023-05-02" } ], "_exports": [ "Bass_ind_dataloader", "Bass_ind_main", "Bass_ind_pre", "Bass_ind_RKsolver", "Bass_ind_skeleton", "Bass_pop_dataloader", "Bass_pop_main", "Bass_pop_pre", "Bass_pop_skeleton", "Bass_spatial_dataloader", "Bass_spatial_main", "Bass_spatial_skeleton", "Bream_ind_dataloader", "Bream_ind_main", "Bream_ind_pre", "Bream_ind_skeleton", "Bream_pop_dataloader", "Bream_pop_main", "Bream_pop_pre", "Bream_pop_skeleton", "Bream_spatial_dataloader", "Bream_spatial_main", "Bream_spatial_skeleton", "Clam_ind_dataloader", "Clam_ind_main", "Clam_ind_pre", "Clam_ind_skeleton", "Clam_pop_dataloader", "Clam_pop_main", "Clam_pop_pre", "Clam_pop_skeleton", "ClamF_ind_dataloader", "ClamF_ind_main", "ClamF_ind_pre", "ClamF_ind_skeleton", "ClamF_pop_dataloader", "ClamF_pop_main", "ClamF_pop_pre", "ClamF_pop_skeleton", "Mussel_ind_dataloader", "Mussel_ind_main", "Mussel_ind_pre", "Mussel_ind_skeleton", "Mussel_pop_dataloader", "Mussel_pop_main", "Mussel_pop_pre", "Mussel_pop_skeleton", "Mussel_spatial_dataloader", "Mussel_spatial_main", "Mussel_spatial_skeleton" ], "_help": [ { "page": "Bass_ind_dataloader", "title": "Function that loads forcings data for Seabass individual bioenergetic model and performs the interpolation", "topics": [ "Bass_ind_dataloader" ] }, { "page": "Bass_ind_equations", "title": "Seabass bioenergetic individual model differential equations", "topics": [ "Bass_ind_equations" ] }, { "page": "Bass_ind_main", "title": "Seabass bioenergetic individual model", "topics": [ "Bass_ind_main" ] }, { "page": "Bass_ind_post", "title": "Seabass bioenergetic individual model postprocessor", "topics": [ "Bass_ind_post" ] }, { "page": "Bass_ind_pre", "title": "Seabass bioenergetic individual model preprocessor", "topics": [ "Bass_ind_pre" ] }, { "page": "Bass_ind_RKsolver", "title": "Solves the Seabass bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "Bass_ind_RKsolver" ] }, { "page": "Bass_ind_skeleton", "title": "Creates the folders structure for Seabass individual bioenergetic model", "topics": [ "Bass_ind_skeleton" ] }, { "page": "Bass_pop_dataloader", "title": "Function that loads forcings data for Seabass population model and performs the interpolation", "topics": [ "Bass_pop_dataloader" ] }, { "page": "Bass_pop_equations", "title": "Seabass bioenergetic population model differential equations", "topics": [ "Bass_pop_equations" ] }, { "page": "Bass_pop_loop", "title": "Function that runs the Monte Carlo simulation for the Seabass population model", "topics": [ "Bass_pop_loop" ] }, { "page": "Bass_pop_main", "title": "Seabass bioenergetic population model", "topics": [ "Bass_pop_main" ] }, { "page": "Bass_pop_post", "title": "Postprocess the Seabass population bioenergetic model results", "topics": [ "Bass_pop_post" ] }, { "page": "Bass_pop_pre", "title": "Seabass bioenergetic population model preprocessor", "topics": [ "Bass_pop_pre" ] }, { "page": "Bass_pop_RKsolver", "title": "Solves the Seabass population bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "Bass_pop_RKsolver" ] }, { "page": "Bass_pop_skeleton", "title": "Creates the folders structure for Seabass population model", "topics": [ "Bass_pop_skeleton" ] }, { "page": "Bass_spatial_dataloader", "title": "Function that loads forcings data for Bass spatialized model and performs the interpolation", "topics": [ "Bass_spatial_dataloader" ] }, { "page": "Bass_spatial_loop", "title": "Bass bioenergetic spatialized model - spatialization loop", "topics": [ "Bass_spatial_loop" ] }, { "page": "Bass_spatial_main", "title": "Bass bioenergetic spatialized model - spatialization loop", "topics": [ "Bass_spatial_main" ] }, { "page": "Bass_spatial_post", "title": "Postprocess the Mussel spatialized model results", "topics": [ "Bass_spatial_post" ] }, { "page": "Bass_spatial_pre", "title": "Bass bioenergetic spatialized model preprocessor", "topics": [ "Bass_spatial_pre" ] }, { "page": "Bass_spatial_pre_int", "title": "Bass bioenergetic spatialized model preprocessor - used inside spatialization loop", "topics": [ "Bass_spatial_pre_int" ] }, { "page": "Bass_spatial_RKsolver", "title": "Solves the Seabass bioenergetic balance with a 4th order Runge Kutta method - used in spatialized model", "topics": [ "Bass_spatial_RKsolver" ] }, { "page": "Bass_spatial_skeleton", "title": "Creates the folders structure for Bass spatialized model", "topics": [ "Bass_spatial_skeleton" ] }, { "page": "Bream_ind_dataloader", "title": "Function that loads forcings data for Seabream individual bioenergetic model and performs the interpolation", "topics": [ "Bream_ind_dataloader" ] }, { "page": "Bream_ind_equations", "title": "Seabream bioenergetic individual model differential equations", "topics": [ "Bream_ind_equations" ] }, { "page": "Bream_ind_main", "title": "Seabream bioenergetic individual model", "topics": [ "Bream_ind_main" ] }, { "page": "Bream_ind_post", "title": "Postprocess the Seabream indivual bioenergetic model results", "topics": [ "Bream_ind_post" ] }, { "page": "Bream_ind_pre", "title": "Seabream bioenergetic individual model preprocessor", "topics": [ "Bream_ind_pre" ] }, { "page": "Bream_ind_RKsolver", "title": "Solves the Seabream individual bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "Bream_ind_RKsolver" ] }, { "page": "Bream_ind_skeleton", "title": "Creates the folders structure for Seabream individual bioenergetic model", "topics": [ "Bream_ind_skeleton" ] }, { "page": "Bream_pop_dataloader", "title": "Function that loads forcings data for Seabream population model and performs the interpolation", "topics": [ "Bream_pop_dataloader" ] }, { "page": "Bream_pop_equations", "title": "Seabream bioenergetic population model differential equations", "topics": [ "Bream_pop_equations" ] }, { "page": "Bream_pop_loop", "title": "Function that runs the Monte Carlo simulation for the Seabream population model", "topics": [ "Bream_pop_loop" ] }, { "page": "Bream_pop_main", "title": "Seabream bioenergetic population model", "topics": [ "Bream_pop_main" ] }, { "page": "Bream_pop_post", "title": "Postprocess the Bream population bioenergetic model results", "topics": [ "Bream_pop_post" ] }, { "page": "Bream_pop_pre", "title": "Seabream bioenergetic population model preprocessor", "topics": [ "Bream_pop_pre" ] }, { "page": "Bream_pop_RKsolver", "title": "Solves the Seabream population bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "Bream_pop_RKsolver" ] }, { "page": "Bream_pop_skeleton", "title": "Creates the folders structure for Seabream population model", "topics": [ "Bream_pop_skeleton" ] }, { "page": "Bream_spatial_dataloader", "title": "Function that loads forcings data for Bream spatialized model and performs the interpolation", "topics": [ "Bream_spatial_dataloader" ] }, { "page": "Bream_spatial_loop", "title": "Bream bioenergetic spatialized model - spatialization loop", "topics": [ "Bream_spatial_loop" ] }, { "page": "Bream_spatial_main", "title": "Bream bioenergetic spatialized model - spatialization loop", "topics": [ "Bream_spatial_main" ] }, { "page": "Bream_spatial_post", "title": "Postprocess the Bream spatialized model results", "topics": [ "Bream_spatial_post" ] }, { "page": "Bream_spatial_pre", "title": "Bream bioenergetic spatialized model preprocessor", "topics": [ "Bream_spatial_pre" ] }, { "page": "Bream_spatial_pre_int", "title": "Bream bioenergetic spatialized model preprocessor - used inside spatialization loop", "topics": [ "Bream_spatial_pre_int" ] }, { "page": "Bream_spatial_RKsolver", "title": "Solves the Seabream bioenergetic balance with a 4th order Runge Kutta method - used in spatialized model", "topics": [ "Bream_spatial_RKsolver" ] }, { "page": "Bream_spatial_skeleton", "title": "Creates the folders structure for Bream spatialized model", "topics": [ "Bream_spatial_skeleton" ] }, { "page": "Clam_ind_dataloader", "title": "Function that loads forcings data for Clam individual bioenergetic model and performs the interpolation", "topics": [ "Clam_ind_dataloader" ] }, { "page": "Clam_ind_equations", "title": "Clam bioenergetic individual model differential equations", "topics": [ "Clam_ind_equations" ] }, { "page": "Clam_ind_main", "title": "Clam bioenergetic individual model", "topics": [ "Clam_ind_main" ] }, { "page": "Clam_ind_post", "title": "Postprocess the Clam individual bioenergetic model results", "topics": [ "Clam_ind_post" ] }, { "page": "Clam_ind_pre", "title": "Clam bioenergetic individual model preprocessor", "topics": [ "Clam_ind_pre" ] }, { "page": "clam_ind_RKsolver", "title": "Solves the Clam individual bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "clam_ind_RKsolver" ] }, { "page": "Clam_ind_skeleton", "title": "Creates the folders structure for Clam individual bioenergetic model", "topics": [ "Clam_ind_skeleton" ] }, { "page": "Clam_pop_dataloader", "title": "Function that loads forcings data for Clam population model and performs the interpolation", "topics": [ "Clam_pop_dataloader" ] }, { "page": "Clam_pop_equations", "title": "Clam bioenergetic population model differential equations", "topics": [ "Clam_pop_equations" ] }, { "page": "Clam_pop_loop", "title": "Function that runs the Monte Carlo simulation for the Clam population model", "topics": [ "Clam_pop_loop" ] }, { "page": "Clam_pop_main", "title": "Clam bioenergetic population model", "topics": [ "Clam_pop_main" ] }, { "page": "Clam_pop_post", "title": "Postprocess the Clam population bioenergetic model results", "topics": [ "Clam_pop_post" ] }, { "page": "Clam_pop_pre", "title": "Clam bioenergetic population model preprocessor", "topics": [ "Clam_pop_pre" ] }, { "page": "Clam_pop_RKsolver", "title": "Solves the Clam bioenergetic balance for population with a 4th order Runge Kutta method", "topics": [ "Clam_pop_RKsolver" ] }, { "page": "Clam_pop_skeleton", "title": "Creates the folders structure for Clam population model", "topics": [ "Clam_pop_skeleton" ] }, { "page": "ClamF_ind_dataloader", "title": "Function that loads forcings data for Clam individual bioenergetic model (alternative version) and performs the interpolation", "topics": [ "ClamF_ind_dataloader" ] }, { "page": "ClamF_ind_equations", "title": "Clam bioenergetic individual model differential equations (alternative version)", "topics": [ "ClamF_ind_equations" ] }, { "page": "ClamF_ind_main", "title": "Clam bioenergetic individual model (alternative version)", "topics": [ "ClamF_ind_main" ] }, { "page": "ClamF_ind_post", "title": "Postprocess the Clam indivual bioenergetic model (alternative version) results", "topics": [ "ClamF_ind_post" ] }, { "page": "ClamF_ind_pre", "title": "Clam bioenergetic individual model preprocessor (alternativer version)", "topics": [ "ClamF_ind_pre" ] }, { "page": "ClamF_ind_RKsolver", "title": "Solves the Clam bioenergetic balance (alternative version) with a 4th order Runge Kutta method", "topics": [ "ClamF_ind_RKsolver" ] }, { "page": "ClamF_ind_skeleton", "title": "Creates the folders structure for Clam individual bioenergetic model (alternative version)", "topics": [ "ClamF_ind_skeleton" ] }, { "page": "ClamF_pop_dataloader", "title": "Function that loads forcings data for Clam population model (alternative version) and performs the interpolation", "topics": [ "ClamF_pop_dataloader" ] }, { "page": "ClamF_pop_equations", "title": "Clam bioenergetic population model differential equations (alternative version)", "topics": [ "ClamF_pop_equations" ] }, { "page": "ClamF_pop_loop", "title": "Function that runs the Monte Carlo simulation for the Clam population model (alternative version)", "topics": [ "ClamF_pop_loop" ] }, { "page": "ClamF_pop_main", "title": "Clam bioenergetic population model (alternative version)", "topics": [ "ClamF_pop_main" ] }, { "page": "ClamF_pop_post", "title": "Postprocess the Clam population bioenergetic model results (alternative model)", "topics": [ "ClamF_pop_post" ] }, { "page": "ClamF_pop_pre", "title": "Clam bioenergetic population model (alternative version) preprocessor", "topics": [ "ClamF_pop_pre" ] }, { "page": "ClamF_pop_RKsolver", "title": "Solves the Clam bioenergetic balance (alternative version) with a 4th order Runge Kutta method", "topics": [ "ClamF_pop_RKsolver" ] }, { "page": "ClamF_pop_skeleton", "title": "Creates the folders structure for Clam population model (alternative version)", "topics": [ "ClamF_pop_skeleton" ] }, { "page": "Mussel_ind_dataloader", "title": "Function that loads forcings data for Mussel individual bioenergetic model and performs the interpolation", "topics": [ "Mussel_ind_dataloader" ] }, { "page": "Mussel_ind_equations", "title": "Mussel bioenergetic individual model differential equations", "topics": [ "Mussel_ind_equations" ] }, { "page": "Mussel_ind_main", "title": "Mussel bioenergetic individual model", "topics": [ "Mussel_ind_main" ] }, { "page": "Mussel_ind_post", "title": "Postprocess the Mussel indivual bioenergetic model results", "topics": [ "Mussel_ind_post" ] }, { "page": "Mussel_ind_pre", "title": "Mussel bioenergetic individual model preprocessor", "topics": [ "Mussel_ind_pre" ] }, { "page": "Mussel_ind_RKsolver", "title": "Solves the Mussel individual bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "Mussel_ind_RKsolver" ] }, { "page": "Mussel_ind_skeleton", "title": "Creates the folders structure for Mussel individual bioenergetic model", "topics": [ "Mussel_ind_skeleton" ] }, { "page": "Mussel_pop_dataloader", "title": "Function that loads forcings data for Mussel population model and performs the interpolation", "topics": [ "Mussel_pop_dataloader" ] }, { "page": "Mussel_pop_equations", "title": "Mussel bioenergetic population model differential equations", "topics": [ "Mussel_pop_equations" ] }, { "page": "Mussel_pop_loop", "title": "Function that runs the Monte Carlo simulation for the Mussel population model", "topics": [ "Mussel_pop_loop" ] }, { "page": "Mussel_pop_main", "title": "Mussel bioenergetic population model", "topics": [ "Mussel_pop_main" ] }, { "page": "Mussel_pop_post", "title": "Postprocess the Mussel population bioenergetic model results", "topics": [ "Mussel_pop_post" ] }, { "page": "Mussel_pop_pre", "title": "Mussel bioenergetic population model preprocessor", "topics": [ "Mussel_pop_pre" ] }, { "page": "Mussel_pop_RKsolver", "title": "Solves the Mussel population bioenergetic balance with a 4th order Runge Kutta method", "topics": [ "Mussel_pop_RKsolver" ] }, { "page": "Mussel_pop_skeleton", "title": "Creates the folders structure for Mussel population model", "topics": [ "Mussel_pop_skeleton" ] }, { "page": "Mussel_spatial_dataloader", "title": "Function that loads forcings data for Mussel spatialized model and performs the interpolation", "topics": [ "Mussel_spatial_dataloader" ] }, { "page": "Mussel_spatial_loop", "title": "Mussel bioenergetic spatialized model - spatialization loop", "topics": [ "Mussel_spatial_loop" ] }, { "page": "Mussel_spatial_main", "title": "Mussel bioenergetic spatialized model - spatialization loop", "topics": [ "Mussel_spatial_main" ] }, { "page": "Mussel_spatial_post", "title": "Postprocess the Mussel spatialized model results", "topics": [ "Mussel_spatial_post" ] }, { "page": "Mussel_spatial_pre", "title": "Mussel bioenergetic spatialized model preprocessor", "topics": [ "Mussel_spatial_pre" ] }, { "page": "Mussel_spatial_pre_int", "title": "Mussel bioenergetic spatialized model preprocessor - used inside spatialization loop", "topics": [ "Mussel_spatial_pre_int" ] }, { "page": "Mussel_spatial_RKsolver", "title": "Solves the Mussel individual bioenergetic balance with a 4th order Runge Kutta method for spatialized model", "topics": [ "Mussel_spatial_RKsolver" ] }, { "page": "Mussel_spatial_skeleton", "title": "Creates the folders structure for Mussel spatialized model", "topics": [ "Mussel_spatial_skeleton" ] }, { "page": "Pop_fun", "title": "Function that solves the population dynamics equations including discontinuities", "topics": [ "Pop_fun" ] } ], "_readme": "https://github.com/damianobaldan/rac/raw/HEAD/README.md", "_rundeps": [ "lattice", "matrixStats", "plotrix", "raster", "Rcpp", "rstudioapi", "sp", "terra" ], "_vignettes": [ { "source": "RAC.Rmd", "filename": "RAC.html", "title": "RAC", "engine": "knitr::rmarkdown", "headings": [], "created": "2023-05-02 10:23:36", "modified": "2023-05-02 10:23:36", "commits": 1 } ], "_score": 4.544068044350276, "_indexed": true, "_nocasepkg": "rac", "_universes": [ "damianobaldan" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.5.5", "date": "2026-05-14T06:06:00.000Z", "distro": "noble", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "aca34a8bf53248322e0068c66072e7706256439f278cc757f0481f0e2f7d1566", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.6.0", "os": "linux", "version": "1.5.5", "date": "2026-05-14T06:06:18.000Z", "distro": "noble", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "49d74871bda15189fbfc594dc7f731f189bab6da029d11fba4588e98828f8201", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.5.3", "os": "mac", "version": "1.5.5", "date": "2026-05-14T06:06:38.000Z", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "96f2d693645bb95815e94cec4e139404de09d38a0867666688058cb0556576d6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.6.0", "os": "mac", "version": "1.5.5", "date": "2026-05-14T06:05:39.000Z", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "34b0b89094e351a2a699bab6c18801a7bdebaa42b0aac69a1fa1caf4d25ae4b6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.7.0", "os": "win", "version": "1.5.5", "date": "2026-05-14T06:05:02.000Z", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "8879beb178c928c6b5df4ee182c0521019f17f276d6a0de66ae9696420564bb1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.5.3", "os": "win", "version": "1.5.5", "date": "2026-05-14T06:05:12.000Z", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "782df06290e398bd6dbb86e5c66effa06acf1a41193cbeb46bc878bddd9fa00e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.6.0", "os": "win", "version": "1.5.5", "date": "2026-05-14T06:05:06.000Z", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "fb028a74d444fd5c5576d2ec6222102349d6469f19e3b9726108be453f356fca", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" }, { "r": "4.6.0", "os": "wasm", "version": "1.5.5", "date": "2026-05-22T09:23:37.000Z", "commit": "44ce8ea41dd9783363680ef008f0c7fb4e665eae", "fileid": "a690f9cc3ad05385206896c5b383ce1c3393a20eb0aacbbd8fb83d59fe140eba", "status": "success", "buildurl": "https://github.com/r-universe/damianobaldan/actions/runs/25844584311" } ] }