{ "_id": "6a115bf6acfb0bcc41cec3bc", "Package": "StepGWR", "Type": "Package", "Title": "A Hybrid Spatial Model for Prediction and Capturing Spatial\nVariation in the Data", "Version": "0.1.0", "Authors@R": "c(person(\"Nobin Chandra\",\"Paul\", role=c(\"aut\",\"cre\",\"cph\"), email=\"nobin.paul@icar.gov.in\"),person(\"Moumita\",\"Baishya\",role=\"aut\"))", "Description": "It is a hybrid spatial model that combines the variable\nselection capabilities of stepwise regression methods with the\npredictive power of the Geographically Weighted Regression(GWR)\nmodel.The developed hybrid model follows a two-step approach\nwhere the stepwise variable selection method is applied first\nto identify the subset of predictors that have the most\nsignificant impact on the response variable, and then a GWR\nmodel is fitted using those selected variables for spatial\nprediction at test or unknown locations. For method details,see\nLeung, Y., Mei, C. L. and Zhang, W. X.\n(2000)..This hybrid spatial model aims to\nimprove the accuracy and interpretability of GWR predictions by\nselecting a subset of relevant variables through a stepwise\nselection process.This approach is particularly useful for\nmodeling spatially varying relationships and improving the\naccuracy of spatial predictions.", "License": "GPL (>= 2.0)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-23 07:46:43 UTC", "User": "root" }, "Author": "Nobin Chandra Paul [aut, cre, cph], Moumita Baishya [aut]", "Maintainer": "Nobin Chandra Paul ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-05-15 18:10:16 UTC", "RemoteUrl": "https://github.com/cran/StepGWR", "RemoteRef": "HEAD", "RemoteSha": "9a9f73b60e5b87c4963ba264553efdf3174d2584", "MD5sum": "8c0acd47d298c2ede81ac9c3f0482bd0", "_user": "cran", "_type": "src", "_file": "StepGWR_0.1.0.tar.gz", "_fileid": "8f571dd3848401e70696d745f14ad055dd310027cecdc8fc081e753be302dd6c", "_filesize": 87800, "_sha256": "8f571dd3848401e70696d745f14ad055dd310027cecdc8fc081e753be302dd6c", "_created": "2026-05-23T07:46:43.000Z", "_published": "2026-05-23T07:49:10.882Z", "_distro": "noble", "_jobs": [ { "job": 77507215712, "time": 115, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7175411150" }, { "job": 77507215715, "time": 116, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7175411226" }, { "job": 77507089021, "time": 147, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7175400403" }, { "job": 77507215711, "time": 108, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7175410561" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26327192439", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/StepGWR", "_commit": { "id": "9a9f73b60e5b87c4963ba264553efdf3174d2584", "author": "Nobin Chandra Paul ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1684174216 }, "_maintainer": { "name": "Nobin Chandra Paul", "email": "nobin.paul@icar.gov.in" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "qpdf", "role": "Imports" }, { "package": "numbers", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 177, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/StepGWR" }, "_searchresults": 1, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/StepGWR.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2023-05-15" } ], "_exports": [ "StepGWR_exponential", "StepGWR_gaussian" ], "_help": [ { "page": "StepGWR_exponential", "title": "StepGWR: a hybrid spatial model that combines the variable selection capabilities of stepwise regression with the predictive power of Geographically Weighted Regression (GWR) model", "topics": [ "StepGWR_exponential" ] }, { "page": "StepGWR_gaussian", "title": "StepGWR: a hybrid spatial model that combines the variable selection capabilities of stepwise regression with the predictive power of Geographically Weighted Regression (GWR) model", "topics": [ "StepGWR_gaussian" ] } ], "_rundeps": [ "askpass", "curl", "MASS", "numbers", "qpdf", "Rcpp", "sys" ], "_score": 1, "_indexed": true, "_nocasepkg": "stepgwr", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-05-23T07:48:41.000Z", "distro": "noble", "commit": "9a9f73b60e5b87c4963ba264553efdf3174d2584", "fileid": "8ce7c6adfe1082cd5c4a087508269a153e618d2a1a066f5808264fa32919976a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26327192439" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-05-23T07:48:41.000Z", "distro": "noble", "commit": "9a9f73b60e5b87c4963ba264553efdf3174d2584", "fileid": "e1a156e022b5612ddac6224431cf3eb43d2ebd3577eef715c878eaeb156fdcb3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26327192439" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-05-23T07:48:47.000Z", "commit": "9a9f73b60e5b87c4963ba264553efdf3174d2584", "fileid": "49edc58ac9c345aee8f0fd4789f2cfe92d9d55ee61f659ae24e96a82a5ca9a39", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26327192439" } ] }