{ "_id": "6ab36f093d719c1f8408f2b0", "Package": "FSHybridPLS", "Title": "Hybrid Penalized Partial Least Squares for Mixed Data", "Version": "0.1.0", "Authors@R": "person(\"Jongmin\", \"Mun\", , \"jongmin.mun@marshall.usc.edu\",\nrole = c(\"aut\", \"cre\", \"cph\"))", "Description": "Fits Penalized Partial Least Squares (PLS) regression when\npredictors are hybrid objects that combine functional curves\n(infinite-dimensional 'fda' objects) and scalar covariates\n(finite-dimensional numeric matrices). The package treats a\nhybrid predictor as an element of a product Hilbert space\nformed by the functional and Euclidean components, and\nimplements the arithmetic (addition, scalar multiplication, and\ninner products, including roughness-penalized inner products)\nneeded to run penalized PLS directly in that space. The\nalgorithm extracts latent components that maximize covariance\nwith a scalar response while penalizing roughness of the\nestimated functional coefficient curves. Helpers are included\nfor constructing hybrid predictors, two-step within- and\nbetween-modality normalization, train/test splitting, synthetic\ndata generation, cross-validated component selection, and\nprediction. The method is described in Mun and Jang (2026)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/Jong-Min-Moon/FShybridPLS", "BugReports": "https://github.com/Jong-Min-Moon/FShybridPLS/issues", "Config/testthat/edition": "3", "Config/checktor/allow": "print_cat_usage", "Config/checktor/acronyms": "PLS", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "VignetteBuilder": "knitr", "Packaged": { "Date": "2026-09-23 06:14:01 UTC", "User": "root" }, "Author": "Jongmin Mun [aut, cre, cph]", "Maintainer": "Jongmin Mun ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-23 06:06:45 UTC", "RemoteUrl": "https://github.com/cran/FSHybridPLS", "RemoteRef": "HEAD", "RemoteSha": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "_user": "cran", "_type": "src", "_file": "FSHybridPLS_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/514764bbe8e505d11ed4319a5dde63927a7841a57ccfe6f960d9aac3b14ed3f6", "_filesize": 198294, "_sha256": "514764bbe8e505d11ed4319a5dde63927a7841a57ccfe6f960d9aac3b14ed3f6", "_expires": "2027-01-01T06:17:43.000Z", "_created": "2026-09-23T06:14:01.000Z", "_published": "2026-09-23T06:17:45.603Z", "_jobs": [ { "job": 107067224568, "time": 179, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10735305677" }, { "job": 107067224483, "time": 156, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10735475118" }, { "job": 107066373146, "time": 224, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10735340057" }, { "job": 107067224482, "time": 122, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10734759822" }, { "job": 107067224505, "time": 96, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "10734303961" }, { "job": 107067224499, "time": 97, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10735360222" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/cran/actions/runs/35825532287", "_status": "success", "_upstream": "https://github.com/cran/FSHybridPLS", "_commit": { "id": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "author": "Jongmin Mun ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1790143605 }, "_maintainer": { "name": "Jongmin Mun", "email": "jongmin.mun@marshall.usc.edu" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "fda", "version": ">= 6.1.3", "role": "Imports" }, { "package": "stats", "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": [ { "week": "2026-39", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-09-23" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 630, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/FSHybridPLS" }, "_devurl": "https://github.com/jong-min-moon/fshybridpls", "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/FSHybridPLS.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_cranurl": false, "_exports": [ "create_idx_kfold", "cv_fit_hybridPLS", "fit_hybridPLS", "fit.hybridPLS", "inprod_pen_predictor_hybrid", "inprod_pen.predictor_hybrid", "inprod_predictor_hybrid", "inprod.predictor_hybrid", "load_and_preprocess_kidney_data", "predictor_hybrid", "simulate_hybrid_data", "split_all", "split_and_normalize_all", "split_and_normalize.all" ], "_help": [ { "page": "create_idx_kfold", "title": "Generate K-Fold Cross-Validation Indices", "topics": [ "create_idx_kfold" ] }, { "page": "cv_fit_hybridPLS", "title": "Cross-Validated Hybrid Penalized PLS", "topics": [ "cv_fit_hybridPLS" ] }, { "page": "fit_hybridPLS", "title": "Fit Hybrid Penalized PLS", "topics": [ "fit.hybridPLS", "fit_hybridPLS", "print.hybridPLS" ] }, { "page": "inprod_pen_predictor_hybrid", "title": "Penalized Inner Product for Hybrid Objects", "topics": [ "inprod_pen.predictor_hybrid", "inprod_pen_predictor_hybrid" ] }, { "page": "inprod_predictor_hybrid", "title": "Algebraic Inner Product for Hybrid Objects", "topics": [ "inprod.predictor_hybrid", "inprod_predictor_hybrid" ] }, { "page": "load_and_preprocess_kidney_data", "title": "Load and Preprocess Kidney Data for FSHybridPLS", "topics": [ "load_and_preprocess_kidney_data" ] }, { "page": "predict.hybridPLS", "title": "Predict from a Hybrid PLS Model", "topics": [ "predict.hybridPLS" ] }, { "page": "predictor_hybrid", "title": "Create a predictor_hybrid object", "topics": [ "predictor_hybrid" ] }, { "page": "simulate_hybrid_data", "title": "Simulate Hybrid Functional-Scalar Regression Data", "topics": [ "simulate_hybrid_data" ] }, { "page": "split_all", "title": "Split Hybrid Predictor and Response Data", "topics": [ "split_all" ] }, { "page": "split_and_normalize_all", "title": "Split and Preprocess Hybrid Data", "topics": [ "split_and_normalize.all", "split_and_normalize_all" ] } ], "_readme": "https://github.com/cran/FSHybridPLS/raw/HEAD/README.md", "_rundeps": [ "ash", "bitops", "cli", "cluster", "colorspace", "cpp11", "deSolve", "farver", "fda", "fds", "FNN", "ggplot2", "glue", "gtable", "hdrcde", "isoband", "kernlab", "KernSmooth", "ks", "labeling", "lattice", "lifecycle", "locfit", "MASS", "Matrix", "mclust", "mgcv", "multicool", "mvtnorm", "nlme", "pcaPP", "pracma", "R6", "rainbow", "RColorBrewer", "Rcpp", "RCurl", "rlang", "S7", "scales", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "FSHybridPLS.Rmd", "filename": "FSHybridPLS.html", "title": "Introduction to FSHybridPLS", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Construct hybrid predictors", "Split and normalize", "Fit and predict", "Choosing the number of components", "Session info" ], "created": "2026-09-23 06:06:45", "modified": "2026-09-23 06:06:45", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": false, "_nocasepkg": "fshybridpls", "_universes": [ "cran", "jong-min-moon" ], "_indexurl": "https://jong-min-moon.r-universe.dev/FSHybridPLS", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-09-23T06:16:44.000Z", "distro": "resolute", "commit": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "fileid": "https://r2.ropensci.org/3f83a0bd959b88af0de8c64310f037f661487f57bf77232e3e3b431ba6ad18a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35825532287" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-09-23T06:16:22.000Z", "distro": "resolute", "commit": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "fileid": "https://r2.ropensci.org/bd6dea55f82361f28ef6d52a76f6477e32224e7812808156d4f2cb201a3bdf2c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35825532287" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-09-23T06:16:21.000Z", "commit": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "fileid": "https://r2.ropensci.org/65197996094de4b686a943ebd2c57d3de1434d705ec044fb5f3327ab8cc74434", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/35825532287" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-09-23T06:15:14.000Z", "commit": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "fileid": "https://r2.ropensci.org/57e2c37e8efa99a6845aac16d60cc26f9b19da9888c3d04b88fdd1d7744c7a29", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35825532287" }, { "r": "4.6.1", "os": "win", "version": "0.1.0", "date": "2026-09-23T06:15:15.000Z", "commit": "15c6badc3f79071ebd31ef4f0f3a76a9b275ded6", "fileid": "https://r2.ropensci.org/57a64d75a8af5565d4874b028bbad1427a4715e1758972e97c7d0f37eae544ef", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/35825532287" } ] }