{ "_id": "6a2130e5cd65a98ecbd252c5", "Package": "hero", "Type": "Package", "Title": "Spatio-Temporal (Hero) Sandwich Smoother", "Version": "0.6", "Author": "Joshua French", "Maintainer": "Joshua French ", "Description": "An implementation of the sandwich smoother proposed in\nFast Bivariate Penalized Splines by Xiao et al. (2012)\n. A hero is a specific type of\nsandwich. Dictionary.com (2018) \ndescribes a hero as: a large sandwich, usually consisting of a\nsmall loaf of bread or long roll cut in half lengthwise and\ncontaining a variety of ingredients, as meat, cheese, lettuce,\nand tomatoes. Also implements the spatio-temporal sandwich\nsmoother of French and Kokoszka (2021)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 07:56:51 UTC", "User": "root" }, "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://jfrench.r-universe.dev", "Date/Publication": "2023-07-15 22:32:24 UTC", "RemoteUrl": "https://github.com/cran/hero", "RemoteRef": "HEAD", "RemoteSha": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "MD5sum": "4e1c3584f35b785ddbc1bd26e5ca2527", "_user": "jfrench", "_type": "src", "_file": "hero_0.6.tar.gz", "_fileid": "b3c83822b207948711c2652b502d5e9bea9fa36b60bde528f31e360a78e5c98f", "_filesize": 2009187, "_sha256": "b3c83822b207948711c2652b502d5e9bea9fa36b60bde528f31e360a78e5c98f", "_created": "2026-06-04T07:56:51.000Z", "_published": "2026-06-04T08:01:41.928Z", "_distro": "noble", "_jobs": [ { "job": 79474811698, "time": 173, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7406090337" }, { "job": 79474811708, "time": 224, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7406104804" }, { "job": 79474811692, "time": 131, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7406076822" }, { "job": 79474811716, "time": 166, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7406088273" }, { "job": 79474164785, "time": 245, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7406033329" }, { "job": 79474811689, "time": 167, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7406088647" }, { "job": 79474811729, "time": 135, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7406078109" }, { "job": 79474811734, "time": 156, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7406085260" }, { "job": 79474811718, "time": 138, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7406079290" } ], "_buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/hero", "_commit": { "id": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "author": "Joshua French ", "committer": "cran-robot ", "message": "version 0.6\n", "time": 1689460344 }, "_maintainer": { "name": "Joshua French", "email": "joshua.french@ucdenver.edu", "login": "jfrench", "description": "I'm an academic focusing on spatial statistics, extreme value theory, and functional data analysis. I try to produce useful code to help myself and others.", "uuid": 1266558 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "Matrix", "role": "Imports" }, { "package": "splines", "role": "Imports" }, { "package": "optimx", "role": "Imports" }, { "package": "pbapply", "role": "Imports" }, { "package": "sf", "role": "Imports" }, { "package": "sp", "role": "Imports" }, { "package": "fields", "role": "Imports" }, { "package": "autoimage", "role": "Suggests" }, { "package": "devtools", "role": "Suggests" }, { "package": "fda", "role": "Suggests" }, { "package": "igraph", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "future.apply", "role": "Suggests" }, { "package": "Rmpi", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "jfrench", "count": 3, "uuid": 1266558 } ], "_userbio": { "uuid": 1266558, "type": "user", "name": "Joshua French", "description": "I'm an academic focusing on spatial statistics, extreme value theory, and functional data analysis. I try to produce useful code to help myself and others." }, "_downloads": { "count": 165, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/hero" }, "_searchresults": 6, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/hero.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_realowner": "jfrench", "_cranurl": false, "_releases": [ { "version": "0.0.3", "date": "2018-10-30" }, { "version": "0.4.7", "date": "2020-01-24" }, { "version": "0.6", "date": "2023-07-15" } ], "_exports": [ "adjacent", "as_starray", "as_sts", "as.starray", "as.sts", "assemble", "border_grid", "border.grid", "borderGrid", "BorderGrid", "bspline", "circulate", "connect", "create.prepared_list", "default.evalargs", "default.splines", "diffpen", "enhance", "enhance.grid", "enlarge", "generate_data2d", "generate_data3d", "generate.data2d", "generate.data3d", "generateData2d", "GenerateData2d", "generateData3d", "GenerateData3d", "hero", "knot_design", "knot.design", "knotDesign", "KnotDesign", "kronecker_seq", "kronecker.seq", "kroneckerSeq", "KroneckerSeq", "loglambda2gcv", "poly2SpatialPolygons", "precompute", "prepare", "prepare_sequential", "radspline", "rh", "rh_seq", "rh.seq", "rhSeq", "RhSeq", "spdiffpen", "starray", "sts" ], "_datasets": [ { "name": "lat", "title": "Computer-generated temperature data", "object": "tasmax", "class": [ "matrix", "array" ], "fields": {}, "rows": 147, "table": true, "tojson": true }, { "name": "lon", "title": "Computer-generated temperature data", "object": "tasmax", "class": [ "matrix", "array" ], "fields": {}, "rows": 147, "table": true, "tojson": true }, { "name": "lunoisyf1", "title": "Data for f1 function from Lu et al. (2012)", "object": "ludata", "class": [ "matrix", "array" ], "fields": {}, "rows": 60, "table": true, "tojson": true }, { "name": "lutruef1", "title": "Data for f1 function from Lu et al. (2012)", "object": "ludata", "class": [ "matrix", "array" ], "fields": {}, "rows": 60, "table": true, "tojson": true }, { "name": "tasmax", "title": "Computer-generated temperature data", "object": "tasmax", "class": [ "array" ], "fields": [], "table": false, "tojson": true }, { "name": "wrfg_cgcm3_tasmax", "title": "Computer-generated temperature data", "object": "wrfg_cgcm3_tasmax", "class": [ "array" ], "fields": [], "table": false, "tojson": true }, { "name": "wrfg_lat", "title": "Computer-generated temperature data", "object": "wrfg_cgcm3_tasmax", "class": [ "matrix", "array" ], "fields": {}, "rows": 134, "table": true, "tojson": true }, { "name": "wrfg_lon", "title": "Computer-generated temperature data", "object": "wrfg_cgcm3_tasmax", "class": [ "matrix", "array" ], "fields": {}, "rows": 134, "table": true, "tojson": true }, { "name": "x", "title": "Data for f1 function from Lu et al. (2012)", "object": "ludata", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true }, { "name": "z", "title": "Data for f1 function from Lu et al. (2012)", "object": "ludata", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "adjacent", "title": "Determine adjacent points", "topics": [ "adjacent" ] }, { "page": "as.starray", "title": "Convert array to 'starray'", "topics": [ "as.starray", "as_starray", "starray" ] }, { "page": "as.sts", "title": "Convert object to 'sts' class", "topics": [ "as.sts", "as_sts", "sts" ] }, { "page": "assemble", "title": "Assemble spline ingredients for sandwich smooth", "topics": [ "assemble", "assemble.hero_bspline", "assemble.hero_radspline", "assemble.list" ] }, { "page": "border.grid", "title": "Construct border for grid", "topics": [ "border.grid", "BorderGrid", "borderGrid", "border_grid" ] }, { "page": "bspline", "title": "B-spline specification", "topics": [ "bspline" ] }, { "page": "circulate", "title": "Circulate values of a vector", "topics": [ "circulate" ] }, { "page": "connect", "title": "Connect 'hero_radsplines'", "topics": [ "connect" ] }, { "page": "create.prepared_list", "title": "Manually create a 'prepared_list'", "topics": [ "create.prepared_list" ] }, { "page": "default.evalargs", "title": "Construct default 'evalargs'", "topics": [ "default.evalargs" ] }, { "page": "default.splines", "title": "Construct default splines", "topics": [ "default.splines" ] }, { "page": "diffpen", "title": "P-spline difference penalty", "topics": [ "diffpen" ] }, { "page": "enhance", "title": "Enhance penalty value", "topics": [ "enhance" ] }, { "page": "enhance.grid", "title": "Enhance penalty value using grid search", "topics": [ "enhance.grid" ] }, { "page": "enlarge", "title": "Enlarge spatial domain", "topics": [ "enlarge" ] }, { "page": "generate.data2d", "title": "Generate 2d data", "topics": [ "generate.data2d", "GenerateData2d", "generateData2d", "generate_data2d" ] }, { "page": "generate.data3d", "title": "Generate 3d data", "topics": [ "generate.data3d", "GenerateData3d", "generateData3d", "generate_data3d" ] }, { "page": "hero", "title": "Construct a hero sandwich smoother", "topics": [ "hero", "hero.prepared_array", "hero.prepared_list", "hero.prepared_matrix", "hero.prepared_numeric", "hero.prepared_sequential", "hero.prepared_starray", "hero.prepared_sts" ] }, { "page": "knot.design", "title": "Design knot/breakpoint spacing", "topics": [ "knot.design", "KnotDesign", "knotDesign", "knot_design" ] }, { "page": "kronecker.seq", "title": "A sequence of kronecker products", "topics": [ "kronecker.seq", "KroneckerSeq", "kroneckerSeq", "kronecker_seq" ] }, { "page": "loglambda2gcv", "title": "Determine GCV statistic", "topics": [ "loglambda2gcv" ] }, { "page": "ludata", "title": "Data for f1 function from Lu et al. (2012)", "topics": [ "ludata", "lunoisyf1", "lutruef1", "x", "z" ] }, { "page": "plot.hero_adjacent", "title": "Plot a 'hero_adjacent' object", "topics": [ "plot.hero_adjacent" ] }, { "page": "plot.hero_bspline", "title": "Plot a 'hero_bspline' object", "topics": [ "plot.hero_bspline" ] }, { "page": "plot.hero_enlarge", "title": "Plot a 'hero_enlarge' object", "topics": [ "plot.hero_enlarge" ] }, { "page": "plot.hero", "title": "Plot a 'hero' object", "topics": [ "plot.hero_matrix", "plot.hero_numeric" ] }, { "page": "plot.hero_radspline", "title": "Plot a 'hero_radspline'", "topics": [ "plot.hero_radspline" ] }, { "page": "poly2SpatialPolygons", "title": "Convert simple polygon to a 'SpatialPolygons' object", "topics": [ "poly2SpatialPolygons" ] }, { "page": "precompute", "title": "Precompute objects", "topics": [ "precompute" ] }, { "page": "predict.hero", "title": "Predict method for 'hero' object", "topics": [ "predict.hero" ] }, { "page": "predict.hero_bspline", "title": "Predict method for 'hero_bspline' object", "topics": [ "predict.hero_bspline" ] }, { "page": "predict.hero_radspline", "title": "Predict method for a 'hero_radspline'", "topics": [ "predict.hero_radspline" ] }, { "page": "prepare", "title": "Prepare data for sandwich smooth", "topics": [ "prepare" ] }, { "page": "prepare_sequential", "title": "Sequentially prepare data for sandwich smooth", "topics": [ "prepare_sequential" ] }, { "page": "prepare.array", "title": "Prepare data array for sandwich smooth", "topics": [ "prepare.array" ] }, { "page": "prepare.list", "title": "Prepare data array for sandwich smooth", "topics": [ "prepare.list" ] }, { "page": "prepare.matrix", "title": "Prepare data matrix for sandwich smooth", "topics": [ "prepare.matrix" ] }, { "page": "prepare.numeric", "title": "Prepare data vector for sandwich smooth", "topics": [ "prepare.numeric" ] }, { "page": "prepare.starray", "title": "Prepare 'starray' for sandwich smooth", "topics": [ "prepare.starray" ] }, { "page": "prepare.sts", "title": "Prepare 'starray' for sandwich smooth", "topics": [ "prepare.sts" ] }, { "page": "radspline", "title": "Radial basis spline specification", "topics": [ "radspline" ] }, { "page": "rh", "title": "Rotated H-transform", "topics": [ "rh" ] }, { "page": "rh.seq", "title": "Apply 'rh' sequentially", "topics": [ "rh.seq", "RhSeq", "rhSeq", "rh_seq" ] }, { "page": "spdiffpen", "title": "Spatial difference penalty", "topics": [ "spdiffpen" ] }, { "page": "tasmax", "title": "Computer-generated temperature data", "topics": [ "lat", "lon", "tasmax" ] }, { "page": "wrfg_cgcm3_tasmax", "title": "Computer-generated temperature data", "topics": [ "wrfg_cgcm3_tasmax", "wrfg_lat", "wrfg_lon" ] } ], "_readme": "https://github.com/cran/hero/raw/HEAD/README.md", "_rundeps": [ "class", "classInt", "DBI", "dotCall64", "e1071", "fields", "KernSmooth", "lattice", "maps", "MASS", "Matrix", "nloptr", "numDeriv", "optimx", "pbapply", "pracma", "proxy", "RColorBrewer", "Rcpp", "s2", "sf", "sp", "spam", "units", "viridisLite", "wk" ], "_score": 1.6989700043360187, "_indexed": true, "_nocasepkg": "hero", "_universes": [ "jfrench" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.6", "date": "2026-06-04T07:59:29.000Z", "distro": "noble", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "d6037795bc0467077ee2780ec7a2758fcbf8e38cfe7fa0efedc6a55047871778", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.6.0", "os": "linux", "version": "0.6", "date": "2026-06-04T08:00:05.000Z", "distro": "noble", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "44a450a578f9ff28e50600f00db7e9be08c4177d0b423a31c1dc98141dfabdfb", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.5.3", "os": "mac", "version": "0.6", "date": "2026-06-04T07:58:51.000Z", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "3771263c5a0c36d0af0570cca0f159845e7f922d1c1a1d021e9e8bf2ee9dc00d", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.6.0", "os": "mac", "version": "0.6", "date": "2026-06-04T07:59:09.000Z", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "9bfeb4082b7d1f82c637fb50b6b03ae04ba6e2bb0838af702a87e0ac58909e98", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.6.0", "os": "wasm", "version": "0.6", "date": "2026-06-04T07:59:59.000Z", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "8ef662aff49eb6e77821b7612f49352b99f98f1c1389bfe3c00ff27fd72070f3", "status": "success", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.7.0", "os": "win", "version": "0.6", "date": "2026-06-04T07:58:37.000Z", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "2b4c0b1222bc17eb4aaaf14431fa90ff22223142aea2ca7fc47375b3c803ffbb", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.5.3", "os": "win", "version": "0.6", "date": "2026-06-04T07:59:05.000Z", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "c3ed2c3f8411e322d83a0b1210b36ab8016991a8296ac17a1311262ee39415cc", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" }, { "r": "4.6.0", "os": "win", "version": "0.6", "date": "2026-06-04T07:58:37.000Z", "commit": "6608b2b4953706ed19d447b554d0e288ef6e33f4", "fileid": "34a82cc26fc88ef09d64d1c215f72c05a70609e3b4b6a6b4ad6e144a47dcbb52", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jfrench/actions/runs/26938562595" } ] }