{ "_id": "6acb8998fe5cc25786e91695", "Package": "FuzzyLogit", "Type": "Package", "Title": "Fuzzy Logistic Regression", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Md Faruk\", \"Hasan\",\nemail = \"md_faruk_hasan@sfu.ca\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Azizur\", \"Rahman\",\nrole = \"aut\"))", "Description": "Fits logistic regression models in which the binary\nresponse is represented by a triangular fuzzy number rather\nthan an exact crisp label, allowing uncertainty in class\nmembership to be encoded directly in the outcome. Model\nparameters are estimated using the Fuzzy Least Squares approach\nof Diamond (1988) , following\nthe integrated fuzzy logistic regression method of Yapici\nPehlivan and Sahin (2018)\n.\nProvides fitting, prediction, classification, cross-validation,\nand diagnostic plotting methods, along with tools for comparing\nmodel behaviour across different assumed levels of label\nuncertainty.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-11 13:03:02 UTC", "User": "root" }, "Author": "Md Faruk Hasan [aut, cre], Azizur Rahman [aut]", "Maintainer": "Md Faruk Hasan ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-09 09:40:14 UTC", "RemoteUrl": "https://github.com/cran/FuzzyLogit", "RemoteRef": "HEAD", "RemoteSha": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "_user": "cran", "_type": "src", "_file": "FuzzyLogit_0.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/b888ecaef7b30c6d048e7d09e1e4f4970231cfa61512f6b7bb8c9210716c1a55", "_filesize": 188948, "_sha256": "b888ecaef7b30c6d048e7d09e1e4f4970231cfa61512f6b7bb8c9210716c1a55", "_expires": "2027-01-19T13:05:26.000Z", "_created": "2026-10-11T13:03:02.000Z", "_published": "2026-10-11T13:05:28.496Z", "_buildurl": "https://github.com/r-universe/cran/actions/runs/38141455618", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 114476555324, "time": 112, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11703351871" }, { "job": 114476555350, "time": 116, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11702544172" }, { "job": 114476069898, "time": 149, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11702524029" }, { "job": 114476555365, "time": 110, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11702743693" }, { "job": 114476555345, "time": 77, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11703002153" }, { "job": 114476555372, "time": 80, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11702918575" } ], "_upstream": "https://github.com/cran/FuzzyLogit", "_commit": { "id": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "author": "Md Faruk Hasan ", "committer": "cran-robot ", "message": "version 0.1.1\n", "time": 1788946814 }, "_maintainer": { "name": "Md Faruk Hasan", "email": "md_faruk_hasan@sfu.ca" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-37", "n": 1 } ], "_tags": [ { "name": "0.1.1", "date": "2026-09-09" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 630, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 412, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/FuzzyLogit" }, "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/FuzzyLogit.html", "extra/manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.1", "date": "2026-09-09" } ], "_exports": [ "case.names", "classify", "compare_cv_results", "compare_fuzzy_models", "cv.fuzzy_logit", "fuzzy_logit", "is.fuzzy_logit", "plot_binned_residuals", "plot_fuzzy_membership", "plot_leverage", "plot_pearson_residuals", "plot_scale_location" ], "_datasets": [ { "name": "breast_cancer", "title": "UCI Breast Cancer Wisconsin Dataset", "object": "breast_cancer", "file": "breast_cancer.rda", "class": [ "data.frame" ], "fields": [ "ClumpThickness", "UniformCellSize", "UniformCellShape", "MarginalAdhesion", "SingleEpithelialCellSize", "BareNuclei", "BlandChromatin", "NormalNucleoli", "Mitoses", "Outcome" ], "rows": 683, "table": true, "tojson": true } ], "_help": [ { "page": "breast_cancer", "title": "UCI Breast Cancer Wisconsin Dataset", "topics": [ "breast_cancer" ] }, { "page": "case.names", "title": "Extract case names from fuzzy_logit model", "topics": [ "case.names" ] }, { "page": "classify", "title": "Classify Observations Using a Fuzzy Logistic Regression Model", "topics": [ "classify", "classify.fuzzy_logit", "print.classify.fuzzy_logit", "summary.classify.fuzzy_logit" ] }, { "page": "coef.fuzzy_logit", "title": "Extract coefficients from fuzzy_logit model", "topics": [ "coef.fuzzy_logit" ] }, { "page": "coefficients.fuzzy_logit", "title": "Extract coefficients from fuzzy_logit model (alias)", "topics": [ "coefficients.fuzzy_logit" ] }, { "page": "compare_cv_results", "title": "Compare Multiple Cross-Validation Results", "topics": [ "compare_cv_results" ] }, { "page": "compare_fuzzy_models", "title": "Compare Multiple Fuzzy Logit Models with Different Mu Values", "topics": [ "compare_fuzzy_models" ] }, { "page": "confint.fuzzy_logit", "title": "Confidence intervals for fuzzy_logit model parameters", "topics": [ "confint.fuzzy_logit" ] }, { "page": "cv.fuzzy_logit", "title": "Cross-Validation for Fuzzy Logistic Regression", "topics": [ "cv.fuzzy_logit" ] }, { "page": "deviance.fuzzy_logit", "title": "Deviance for fuzzy_logit model", "topics": [ "deviance.fuzzy_logit" ] }, { "page": "df.residual.fuzzy_logit", "title": "Extract residual degrees of freedom", "topics": [ "df.residual.fuzzy_logit" ] }, { "page": "fitted.fuzzy_logit", "title": "Extract fitted values from fuzzy_logit model", "topics": [ "fitted.fuzzy_logit" ] }, { "page": "formula.fuzzy_logit", "title": "Extract formula from fuzzy_logit model", "topics": [ "formula.fuzzy_logit" ] }, { "page": "fuzzy_logit", "title": "Fuzzy Logistic Regression with Customizable Membership Functions", "topics": [ "fuzzy_logit" ] }, { "page": "is.fuzzy_logit", "title": "Check if object is a fuzzy_logit model", "topics": [ "is.fuzzy_logit" ] }, { "page": "logLik.fuzzy_logit", "title": "Log-likelihood for fuzzy_logit model", "topics": [ "logLik.fuzzy_logit" ] }, { "page": "model.frame.fuzzy_logit", "title": "Extract model frame from fuzzy_logit model", "topics": [ "model.frame.fuzzy_logit" ] }, { "page": "model.matrix.fuzzy_logit", "title": "Extract model matrix from fuzzy_logit model", "topics": [ "model.matrix.fuzzy_logit" ] }, { "page": "nobs.fuzzy_logit", "title": "Extract number of observations from fuzzy_logit model", "topics": [ "nobs.fuzzy_logit" ] }, { "page": "plot_binned_residuals", "title": "Plot Binned Residuals for a Fuzzy Logistic Regression Model", "topics": [ "plot_binned_residuals" ] }, { "page": "plot_fuzzy_membership", "title": "Visualize Fuzzy Membership Functions", "topics": [ "plot_fuzzy_membership" ] }, { "page": "plot_leverage", "title": "Residuals vs. Leverage Plot for a Fuzzy Logistic Regression Model", "topics": [ "plot_leverage" ] }, { "page": "plot_pearson_residuals", "title": "Plot Pearson Residuals vs. Fitted Probabilities", "topics": [ "plot_pearson_residuals" ] }, { "page": "plot_scale_location", "title": "Scale-Location Plot for a Fuzzy Logistic Regression Model", "topics": [ "plot_scale_location" ] }, { "page": "plot.fuzzy_logit", "title": "Plot diagnostic plots for fuzzy_logit model", "topics": [ "plot.fuzzy_logit" ] }, { "page": "predict.fuzzy_logit", "title": "Predict method for fuzzy_logit models", "topics": [ "predict.fuzzy_logit" ] }, { "page": "print.cv.fuzzy_logit", "title": "Print Cross-Validation Results", "topics": [ "print.cv.fuzzy_logit" ] }, { "page": "print.fuzzy_logit", "title": "Print method for fuzzy_logit objects", "topics": [ "print.fuzzy_logit" ] }, { "page": "print.fuzzy_logit_comparison", "title": "Print method for fuzzy_logit_comparison", "topics": [ "print.fuzzy_logit_comparison" ] }, { "page": "print.summary.fuzzy_logit", "title": "Print method for summary.fuzzy_logit objects", "topics": [ "print.summary.fuzzy_logit" ] }, { "page": "residuals.fuzzy_logit", "title": "Extract residuals from fuzzy_logit model", "topics": [ "residuals.fuzzy_logit" ] }, { "page": "summary.cv.fuzzy_logit", "title": "Summarise Cross-Validation Results", "topics": [ "summary.cv.fuzzy_logit" ] }, { "page": "summary.fuzzy_logit", "title": "Summary method for fuzzy_logit objects", "topics": [ "summary.fuzzy_logit" ] }, { "page": "terms.fuzzy_logit", "title": "Extract terms from fuzzy_logit model", "topics": [ "terms.fuzzy_logit" ] }, { "page": "update.fuzzy_logit", "title": "Update fuzzy_logit model", "topics": [ "update.fuzzy_logit" ] }, { "page": "variable.names.fuzzy_logit", "title": "Extract variable names from fuzzy_logit model", "topics": [ "variable.names.fuzzy_logit" ] }, { "page": "vcov.fuzzy_logit", "title": "Variance-covariance matrix for fuzzy_logit model", "topics": [ "vcov.fuzzy_logit" ] } ], "_rundeps": [ "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "magrittr", "MASS", "pillar", "pkgconfig", "purrr", "R6", "RColorBrewer", "rlang", "S7", "scales", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "withr" ], "_score": 1, "_indexed": true, "_nocasepkg": "fuzzylogit", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.1", "date": "2026-10-11T13:04:48.000Z", "distro": "resolute", "commit": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "fileid": "https://r2.ropensci.org/7d181e9525bbcc4d482eabb05256b9c5161816604b1b35a61f37887a60c08e94", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38141455618" }, { "r": "4.6.1", "os": "linux", "version": "0.1.1", "date": "2026-10-11T13:04:49.000Z", "distro": "resolute", "commit": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "fileid": "https://r2.ropensci.org/d9eecb95ea33cefe33afa548e95f6add7b6affa41d9d89e911aa7f8759dfeef0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38141455618" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.1", "date": "2026-10-11T13:05:04.000Z", "commit": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "fileid": "https://r2.ropensci.org/5f64748dead7263aad9131df86de7e186d1e7927ebe9e5df09631180d98335ff", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/38141455618" }, { "r": "4.7.0", "os": "win", "version": "0.1.1", "date": "2026-10-11T13:04:07.000Z", "commit": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "fileid": "https://r2.ropensci.org/a83b60fd0a113128310494dae6ecf2ec4a0597e60321ed2990da8c81ba63d5bc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38141455618" }, { "r": "4.6.1", "os": "win", "version": "0.1.1", "date": "2026-10-11T13:04:08.000Z", "commit": "795946b75c072d3f9a38e6be87a3b2f41d2994b3", "fileid": "https://r2.ropensci.org/026c1603cb356485266e7899c183d3bc09341e8361122726191250cca63587d2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/38141455618" } ] }