{ "_id": "6ac4ea19f511ae58c09a3048", "Package": "spfcICOMP", "Title": "Shrinkage Principal Fitted Components with Information\nComplexity-Based Model Selection", "Version": "0.1.0.9000", "Authors@R": "person(\"Kabir Opeyemi\", \"Olorede\", email = \"kabir.olorede@kwasu.edu.ng\",\nrole = c(\"aut\", \"cre\", \"cph\"))", "Description": "Implements shrinkage principal fitted components for\nsufficient dimension reduction in high-dimensional regression\nand classification. Provides regularised covariance estimation\nusing Oracle Approximating Shrinkage and Maximum Entropy\nCovariance, structural-dimension selection using conventional\nand information-complexity criteria, response-guided feature\nscreening, reduced-space prediction, and simulation utilities.\nMethodological foundations include Cook and Forzani (2008)\n, Chen et al. (2010)\n, Bozdogan (2000)\n, and Olorede and Yahya (2019)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/ilovemaths/spfcICOMP,\nhttps://CRAN.R-project.org/package=spfcICOMP,\nhttps://doi.org/10.5281/zenodo.22310094", "BugReports": "https://github.com/ilovemaths/spfcICOMP/issues", "Encoding": "UTF-8", "Language": "en-GB", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Repository": "https://ilovemaths.r-universe.dev", "Date/Publication": "2026-09-06 14:22:24 UTC", "RemoteUrl": "https://github.com/ilovemaths/spfcicomp", "RemoteRef": "HEAD", "RemoteSha": "f6450e11d19cd776e30e1266739ff4626a28b843", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-06 12:28:27 UTC", "User": "root" }, "Author": "Kabir Opeyemi Olorede [aut, cre, cph]", "Maintainer": "Kabir Opeyemi Olorede ", "_user": "ilovemaths", "_type": "src", "_file": "spfcICOMP_0.1.0.9000.tar.gz", "_fileid": "https://r2.ropensci.org/e535363e24c0d80320bd8df96a4c538329a57399f1c2cc168d1ab0306a5d89bc", "_filesize": 368641, "_sha256": "e535363e24c0d80320bd8df96a4c538329a57399f1c2cc168d1ab0306a5d89bc", "_expires": "2027-01-14T12:31:19.000Z", "_created": "2026-10-06T12:28:27.000Z", "_published": "2026-10-06T12:31:21.656Z", "_buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 112268732266, "time": 108, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11414416177" }, { "job": 112268732308, "time": 108, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11414341234" }, { "job": 112268732062, "time": 93, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11413401986" }, { "job": 112268731931, "time": 118, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11413861475" }, { "job": 112266913400, "time": 273, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11414205980" }, { "job": 112268732231, "time": 82, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11413941442" }, { "job": 112268732115, "time": 74, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11414371381" }, { "job": 112268732116, "time": 68, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11413441819" }, { "job": 112268732054, "time": 75, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11413256868" } ], "_upstream": "https://github.com/ilovemaths/spfcicomp", "_commit": { "id": "f6450e11d19cd776e30e1266739ff4626a28b843", "author": "Kabir Opeyemi Olorede ", "committer": "Kabir Opeyemi Olorede ", "message": "Improve benchmark output for applicable metrics\n", "time": 1788704544 }, "_maintainer": { "name": "Kabir Opeyemi Olorede", "email": "kabir.olorede@kwasu.edu.ng", "login": "ilovemaths", "description": "Statistics Faculty at Kwara State University, Nigeria and Visiting Scholar to University of Tennessee, Knoxville, TN, USA", "uuid": 7070195 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "MASS", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "ilovemaths", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-33", "n": 1 }, { "week": "2026-34", "n": 5 }, { "week": "2026-36", "n": 2 } ], "_tags": [ { "name": "v0.1.0", "date": "2026-08-22" } ], "_stars": 0, "_contributors": [ { "user": "ilovemaths", "count": 8, "uuid": 7070195 } ], "_userbio": { "uuid": 7070195, "type": "user", "name": "Kabir Olorede", "followers": 1, "description": "Statistics Faculty at Kwara State University, Nigeria and Visiting Scholar to University of Tennessee, Knoxville, TN, USA" }, "_downloads": { "count": 263, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/spfcICOMP" }, "_devurl": "https://github.com/ilovemaths/spfcicomp", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/spfcICOMP.html", "LICENSE" ], "_homeurl": "https://github.com/ilovemaths/spfcicomp", "_realowner": "ilovemaths", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2026-09-08" } ], "_exports": [ "benchmark_spfc", "binary_classification_metrics", "compare_covariance_methods", "create_cv_folds", "create_spfc_design_grid", "create_train_test_split", "cse", "estimate_covariance", "evaluate_reduced_model", "evaluate_spfc_cv", "evaluate_spfc_train_test", "fit_reduced_model", "mec", "oas", "plot_dimension_selection", "plot_metric_by_covariance", "plot_rmse_by_covariance", "plot_runtime_by_covariance", "plot_spfc_scores", "plot_subspace_distance_by_covariance", "predict_reduced_model", "rank_covariance_methods", "run_spfc_design", "run_spfc_simulation", "score_information_criteria", "sde", "simulate_spfc_binary", "simulate_spfc_continuous", "spfc", "spfc_fit", "spfc_select_dimension", "spfc_select_variables", "sre", "subspace_distance", "summarise_spfc_simulation", "variable_selection_metrics" ], "_help": [ { "page": "benchmark_spfc", "title": "Benchmark SPFC Across Covariance Estimators", "topics": [ "benchmark_spfc" ] }, { "page": "binary_classification_metrics", "title": "Compute Binary Classification Metrics", "topics": [ "binary_classification_metrics" ] }, { "page": "coef.spfc", "title": "Extract SPFC Fit from Complete Workflow", "topics": [ "coef.spfc" ] }, { "page": "coef.spfc_fit", "title": "Extract SPFC Coefficients", "topics": [ "coef.spfc_fit" ] }, { "page": "compare_covariance_methods", "title": "Compare Covariance Estimators in SPFC", "topics": [ "compare_covariance_methods" ] }, { "page": "create_cv_folds", "title": "Create K-fold Cross-validation Folds", "topics": [ "create_cv_folds" ] }, { "page": "create_spfc_design_grid", "title": "Create an SPFC Simulation Design Grid", "topics": [ "create_spfc_design_grid" ] }, { "page": "create_train_test_split", "title": "Create Train-test Split", "topics": [ "create_train_test_split" ] }, { "page": "cse", "title": "Convex Sum Covariance Estimator", "topics": [ "cse" ] }, { "page": "estimate_covariance", "title": "Estimate a Regularised Covariance Matrix", "topics": [ "estimate_covariance" ] }, { "page": "evaluate_reduced_model", "title": "Evaluate a Reduced Model", "topics": [ "evaluate_reduced_model" ] }, { "page": "evaluate_spfc_cv", "title": "Evaluate SPFC with K-fold Cross-validation", "topics": [ "evaluate_spfc_cv" ] }, { "page": "evaluate_spfc_train_test", "title": "Evaluate SPFC with Train-test Validation", "topics": [ "evaluate_spfc_train_test" ] }, { "page": "fit_reduced_model", "title": "Fit Reduced Downstream Model", "topics": [ "fit_reduced_model" ] }, { "page": "fitted.spfc", "title": "Extract Reduced Scores from Complete Workflow", "topics": [ "fitted.spfc" ] }, { "page": "fitted.spfc_fit", "title": "Fitted SPFC Scores", "topics": [ "fitted.spfc_fit" ] }, { "page": "mec", "title": "Maximum Entropy Covariance Estimator", "topics": [ "mec" ] }, { "page": "oas", "title": "Oracle Approximating Shrinkage-Type Covariance Estimator", "topics": [ "oas" ] }, { "page": "plot_dimension_selection", "title": "Plot Dimension-Selection Criteria", "topics": [ "plot_dimension_selection" ] }, { "page": "plot_metric_by_covariance", "title": "Plot SPFC Simulation Metric by Covariance Method", "topics": [ "plot_metric_by_covariance" ] }, { "page": "plot_rmse_by_covariance", "title": "Plot RMSE by Covariance Method", "topics": [ "plot_rmse_by_covariance" ] }, { "page": "plot_runtime_by_covariance", "title": "Plot Runtime by Covariance Method", "topics": [ "plot_runtime_by_covariance" ] }, { "page": "plot_spfc_scores", "title": "Plot SPFC Reduced Scores", "topics": [ "plot_spfc_scores" ] }, { "page": "plot_subspace_distance_by_covariance", "title": "Plot Subspace Distance by Covariance Method", "topics": [ "plot_subspace_distance_by_covariance" ] }, { "page": "predict_reduced_model", "title": "Predict from a Reduced Model Fit", "topics": [ "predict_reduced_model" ] }, { "page": "predict.ridge_logistic_fit", "title": "Predict from Ridge Logistic Regression", "topics": [ "predict.ridge_logistic_fit" ] }, { "page": "predict.spfc", "title": "Predict SPFC Scores from Complete Workflow", "topics": [ "predict.spfc" ] }, { "page": "predict.spfc_fit", "title": "Predict SPFC Scores for New Data", "topics": [ "predict.spfc_fit" ] }, { "page": "print.spfc", "title": "Print Complete SPFC Workflow", "topics": [ "print.spfc" ] }, { "page": "print.spfc_benchmark", "title": "Print SPFC Benchmark", "topics": [ "print.spfc_benchmark" ] }, { "page": "print.spfc_fit", "title": "Print an SPFC Fit", "topics": [ "print.spfc_fit" ] }, { "page": "print.summary.spfc", "title": "Print Summary of Complete SPFC Workflow", "topics": [ "print.summary.spfc" ] }, { "page": "print.summary.spfc_benchmark", "title": "Print Summary of SPFC Benchmark", "topics": [ "print.summary.spfc_benchmark" ] }, { "page": "print.summary.spfc_fit", "title": "Print Summary of an SPFC Fit", "topics": [ "print.summary.spfc_fit" ] }, { "page": "rank_covariance_methods", "title": "Rank Covariance Methods from Simulation Summaries", "topics": [ "rank_covariance_methods" ] }, { "page": "run_spfc_design", "title": "Run an SPFC Simulation Design", "topics": [ "run_spfc_design" ] }, { "page": "run_spfc_simulation", "title": "Run a Small SPFC Simulation Study", "topics": [ "run_spfc_simulation" ] }, { "page": "score_information_criteria", "title": "Score Information Criteria for a Reduced Model", "topics": [ "score_information_criteria" ] }, { "page": "sde", "title": "Stipulated Diagonal Covariance Estimator", "topics": [ "sde" ] }, { "page": "simulate_spfc_binary", "title": "Simulate Binary High-Dimensional Classification Data", "topics": [ "simulate_spfc_binary" ] }, { "page": "simulate_spfc_continuous", "title": "Simulate Continuous High-Dimensional PFC Data", "topics": [ "simulate_spfc_continuous" ] }, { "page": "spfc", "title": "Fit a Complete SPFC Workflow", "topics": [ "spfc" ] }, { "page": "spfc_fit", "title": "Fit Shrinkage Principal Fitted Components", "topics": [ "spfc_fit" ] }, { "page": "spfc_select_dimension", "title": "Select Structural Dimension for SPFC", "topics": [ "spfc_select_dimension" ] }, { "page": "spfc_select_variables", "title": "Select Variables from SPFC Directions", "topics": [ "spfc_select_variables" ] }, { "page": "sre", "title": "Stipulated Ridge Covariance Estimator", "topics": [ "sre" ] }, { "page": "subspace_distance", "title": "Compute Subspace Distance", "topics": [ "subspace_distance" ] }, { "page": "summarise_spfc_simulation", "title": "Summarise SPFC Simulation Results", "topics": [ "summarise_spfc_simulation" ] }, { "page": "summary.spfc", "title": "Summarise Complete SPFC Workflow", "topics": [ "summary.spfc" ] }, { "page": "summary.spfc_benchmark", "title": "Summarise SPFC Benchmark", "topics": [ "summary.spfc_benchmark" ] }, { "page": "summary.spfc_fit", "title": "Summarise an SPFC Fit", "topics": [ "summary.spfc_fit" ] }, { "page": "variable_selection_metrics", "title": "Compute Variable-Selection Performance", "topics": [ "variable_selection_metrics" ] } ], "_readme": "https://github.com/ilovemaths/spfcicomp/raw/HEAD/README.md", "_rundeps": [ "MASS" ], "_vignettes": [ { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Getting Started with spfcICOMP", "author": "Kabir O. Olorede", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Load package", "Simulate data", "Fit SPFC", "Extract estimated directions", "Obtain reduced scores", "Predict new observations", "Structural dimension selection", "Feature screening", "Benchmark covariance estimators", "Simulation study", "Plotting", "References" ], "created": "2026-08-16 13:53:07", "modified": "2026-08-16 13:53:07", "commits": 1 } ], "_score": 4.176091259055681, "_indexed": true, "_nocasepkg": "spfcicomp", "_universes": [ "ilovemaths" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0.9000", "date": "2026-10-06T12:30:15.000Z", "distro": "resolute", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/54746e6edba94bf0027deed3af824937f4295c57eab245adcab9a1724e235988", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0.9000", "date": "2026-10-06T12:30:14.000Z", "distro": "resolute", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/66fed1b1b165e90ee8eb50c0f843365342ca1dbca6fd722ce7dcdd9b961a442c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0.9000", "date": "2026-10-06T12:30:07.000Z", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/02b9d1799500cda7845e950e446ef946b0458a94d90fdcb7e23f550b8a59a85c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.6.1", "os": "mac", "version": "0.1.0.9000", "date": "2026-10-06T12:30:26.000Z", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/bbea1a9604437b270a5c4d1adf6faafd3348868cc406276aa51d75df39094a52", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0.9000", "date": "2026-10-06T12:30:08.000Z", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/10fd47e6eae640471a0e493eaf3cc21452c3e73ad3685cdac0d6e50c6ddd519b", "status": "success", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.7.0", "os": "win", "version": "0.1.0.9000", "date": "2026-10-06T12:29:34.000Z", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/819802c9b683e1b0c1bb860929a61193387d5930b1fb13d074599bf19c8983a8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.5.3", "os": "win", "version": "0.1.0.9000", "date": "2026-10-06T12:29:30.000Z", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/e1e6994a56c455d6c02967e915d86fea861f133000b25d45be9cf362be675090", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" }, { "r": "4.6.1", "os": "win", "version": "0.1.0.9000", "date": "2026-10-06T12:29:38.000Z", "commit": "f6450e11d19cd776e30e1266739ff4626a28b843", "fileid": "https://r2.ropensci.org/61018c5d2b368776f5728e3d8ee17b384013c31b5eee51c3f347d01f4609bde4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ilovemaths/actions/runs/37462940813" } ] }