{ "_id": "6a14173bacfb0bcc41d3c5ad", "Package": "enpls", "Type": "Package", "Title": "Ensemble Partial Least Squares Regression", "Version": "6.1.1", "Authors@R": "c(\nperson(\"Nan\", \"Xiao\", email = \"me@nanx.me\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0250-5673\")),\nperson(\"Dong-Sheng\", \"Cao\", role = c(\"aut\")),\nperson(\"Miao-Zhu\", \"Li\", email = \"miaozhu.li@duke.edu\", role = c(\"aut\")),\nperson(\"Qing-Song\", \"Xu\", email = \"qsxu@csu.edu.cn\", role = c(\"aut\"))\n)", "Description": "An algorithmic framework for measuring feature importance,\noutlier detection, model applicability domain evaluation, and\nensemble predictive modeling with (sparse) partial least\nsquares regressions.", "License": "GPL (>= 3)", "URL": "https://nanx.me/enpls/, https://github.com/nanxstats/enpls", "BugReports": "https://github.com/nanxstats/enpls/issues", "LazyData": "TRUE", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://nanxstats.r-universe.dev", "Date/Publication": "2025-07-29 04:56:26 UTC", "RemoteUrl": "https://github.com/nanxstats/enpls", "RemoteRef": "HEAD", "RemoteSha": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 09:29:01 UTC", "User": "root" }, "Author": "Nan Xiao [aut, cre] (ORCID: ),\nDong-Sheng Cao [aut],\nMiao-Zhu Li [aut],\nQing-Song Xu [aut]", "Maintainer": "Nan Xiao ", "MD5sum": "981771c9ad728883644ba48cb6bb8707", "_user": "nanxstats", "_type": "src", "_file": "enpls_6.1.1.tar.gz", "_fileid": "668837240ce17f4aeea55d4ceb755569f8070b67546bf8c8396dc03a573c019f", "_filesize": 2936708, "_sha256": "668837240ce17f4aeea55d4ceb755569f8070b67546bf8c8396dc03a573c019f", "_created": "2026-05-25T09:29:01.000Z", "_published": "2026-05-25T09:32:42.984Z", "_distro": "noble", "_jobs": [ { "job": 77688692772, "time": 179, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7195545348" }, { "job": 77688692847, "time": 182, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7195546143" }, { "job": 77688692798, "time": 102, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7195525322" }, { "job": 77688692840, "time": 96, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7195524059" }, { "job": 77688148970, "time": 252, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7195497111" }, { "job": 77688692735, "time": 119, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7195530139" }, { "job": 77688692757, "time": 127, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7195532048" }, { "job": 77688692780, "time": 125, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7195531619" }, { "job": 77688692777, "time": 136, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7195535094" } ], "_buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/nanxstats/enpls", "_commit": { "id": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "author": "Nan Xiao ", "committer": "Nan Xiao ", "message": "Regenerate favicons\n", "time": 1753764986 }, "_maintainer": { "name": "Nan Xiao", "email": "me@nanx.me", "login": "nanxstats", "bluesky": "@nanxstats.bsky.social", "linkedin": "in/nanxstats", "twitter": "@nanxstats", "description": "Data Scientist @Genentech", "uuid": 199363, "orcid": "0000-0002-0250-5673" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.0.2", "role": "Depends" }, { "package": "pls", "role": "Imports" }, { "package": "spls", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "doParallel", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "reshape2", "role": "Imports" }, { "package": "plotly", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "nanxstats", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-31", "n": 5 } ], "_tags": [ { "name": "v6.1.1", "date": "2025-07-28" } ], "_topics": [ "chemometrics", "dimensionality-reduction", "ensemble-learning", "machine-learning", "outlier-detection", "partial-least-squares-regression" ], "_stars": 18, "_contributors": [ { "user": "nanxstats", "count": 104, "uuid": 199363 } ], "_userbio": { "uuid": 199363, "type": "user", "name": "Nan Xiao", "description": "Data Scientist @Genentech" }, "_downloads": { "count": 288, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/enpls" }, "_mentions": 1, "_devurl": "https://github.com/nanxstats/enpls", "_pkgdown": "https://nanx.me/enpls/", "_searchresults": 40, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/enpls.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/nanxstats/enpls", "_realowner": "nanxstats", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2014-10-03" }, { "version": "1.1", "date": "2015-11-27" }, { "version": "3.0", "date": "2016-06-29" }, { "version": "4.0", "date": "2016-08-29" }, { "version": "4.5", "date": "2016-09-15" }, { "version": "5.0", "date": "2016-10-25" }, { "version": "5.6", "date": "2016-11-26" }, { "version": "5.7", "date": "2017-01-05" }, { "version": "5.8", "date": "2017-03-25" }, { "version": "5.9", "date": "2017-09-27" }, { "version": "6.0", "date": "2018-05-13" }, { "version": "6.1", "date": "2019-05-18" }, { "version": "6.1.1", "date": "2025-08-01" } ], "_exports": [ "cv.enpls", "cv.enspls", "enpls.ad", "enpls.fit", "enpls.fs", "enpls.mae", "enpls.od", "enpls.rmse", "enpls.rmsle", "enspls.ad", "enspls.fit", "enspls.fs", "enspls.od" ], "_datasets": [ { "name": "alkanes", "title": "Methylalkanes Retention Index Dataset", "object": "alkanes", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "logd1k", "title": "logD7.4 Data for 1,000 Compounds", "object": "logd1k", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "alkanes", "title": "Methylalkanes Retention Index Dataset", "topics": [ "alkanes" ] }, { "page": "cv.enpls", "title": "Cross Validation for Ensemble Partial Least Squares Regression", "topics": [ "cv.enpls" ] }, { "page": "cv.enspls", "title": "Cross Validation for Ensemble Sparse Partial Least Squares Regression", "topics": [ "cv.enspls" ] }, { "page": "enpls.ad", "title": "Ensemble Partial Least Squares for Model Applicability Domain Evaluation", "topics": [ "enpls.ad" ] }, { "page": "enpls.fit", "title": "Ensemble Partial Least Squares Regression", "topics": [ "enpls.fit" ] }, { "page": "enpls.fs", "title": "Ensemble Partial Least Squares for Measuring Feature Importance", "topics": [ "enpls.fs" ] }, { "page": "enpls.mae", "title": "Mean Absolute Error (MAE)", "topics": [ "enpls.mae" ] }, { "page": "enpls.od", "title": "Ensemble Partial Least Squares for Outlier Detection", "topics": [ "enpls.od" ] }, { "page": "enpls.rmse", "title": "Root Mean Squared Error (RMSE)", "topics": [ "enpls.rmse" ] }, { "page": "enpls.rmsle", "title": "Root Mean Squared Logarithmic Error (RMSLE)", "topics": [ "enpls.rmsle" ] }, { "page": "enspls.ad", "title": "Ensemble Sparse Partial Least Squares for Model Applicability Domain Evaluation", "topics": [ "enspls.ad" ] }, { "page": "enspls.fit", "title": "Ensemble Sparse Partial Least Squares Regression", "topics": [ "enspls.fit" ] }, { "page": "enspls.fs", "title": "Ensemble Sparse Partial Least Squares for Measuring Feature Importance", "topics": [ "enspls.fs" ] }, { "page": "enspls.od", "title": "Ensemble Sparse Partial Least Squares for Outlier Detection", "topics": [ "enspls.od" ] }, { "page": "logd1k", "title": "logD7.4 Data for 1,000 Compounds", "topics": [ "logd1k" ] }, { "page": "plot.cv.enpls", "title": "Plot cv.enpls object", "topics": [ "plot.cv.enpls" ] }, { "page": "plot.cv.enspls", "title": "Plot cv.enspls object", "topics": [ "plot.cv.enspls" ] }, { "page": "plot.enpls.ad", "title": "Plot enpls.ad object", "topics": [ "plot.enpls.ad" ] }, { "page": "plot.enpls.fs", "title": "Plot enpls.fs object", "topics": [ "plot.enpls.fs" ] }, { "page": "plot.enpls.od", "title": "Plot enpls.od object", "topics": [ "plot.enpls.od" ] }, { "page": "plot.enspls.ad", "title": "Plot enspls.ad object", "topics": [ "plot.enspls.ad" ] }, { "page": "plot.enspls.fs", "title": "Plot enspls.fs object", "topics": [ "plot.enspls.fs" ] }, { "page": "plot.enspls.od", "title": "Plot enspls.od object", "topics": [ "plot.enspls.od" ] }, { "page": "predict.enpls.fit", "title": "Make Predictions from a Fitted Ensemble Partial Least Squares Model", "topics": [ "predict.enpls.fit" ] }, { "page": "predict.enspls.fit", "title": "Make Predictions from a Fitted Sparse Ensemble Partial Least Squares Model", "topics": [ "predict.enspls.fit" ] }, { "page": "print.cv.enpls", "title": "Print cv.enpls Object", "topics": [ "print.cv.enpls" ] }, { "page": "print.cv.enspls", "title": "Print cv.enspls Object", "topics": [ "print.cv.enspls" ] }, { "page": "print.enpls.ad", "title": "Print enpls.ad Object", "topics": [ "print.enpls.ad" ] }, { "page": "print.enpls.fit", "title": "Print Fitted Ensemble Partial Least Squares Object", "topics": [ "print.enpls.fit" ] }, { "page": "print.enpls.fs", "title": "Print enpls.fs Object", "topics": [ "print.enpls.fs" ] }, { "page": "print.enpls.od", "title": "Print enpls.od Object", "topics": [ "print.enpls.od" ] }, { "page": "print.enspls.ad", "title": "Print enspls.ad Object", "topics": [ "print.enspls.ad" ] }, { "page": "print.enspls.fit", "title": "Print Fitted Ensemble Sparse Partial Least Squares Object", "topics": [ "print.enspls.fit" ] }, { "page": "print.enspls.fs", "title": "Print enspls.fs Object", "topics": [ "print.enspls.fs" ] }, { "page": "print.enspls.od", "title": "Print enspls.od Object", "topics": [ "print.enspls.od" ] } ], "_pkglogo": "https://github.com/nanxstats/enpls/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/nanxstats/enpls/raw/HEAD/README.md", "_rundeps": [ "askpass", "base64enc", "bslib", "cachem", "cli", "codetools", "cpp11", "crosstalk", "curl", "data.table", "digest", "doParallel", "dplyr", "evaluate", "farver", "fastmap", "fontawesome", "foreach", "fs", "generics", "ggplot2", "glue", "gtable", "highr", "htmltools", "htmlwidgets", "httr", "isoband", "iterators", "jquerylib", "jsonlite", "knitr", "labeling", "later", "lazyeval", "lifecycle", "magrittr", "MASS", "memoise", "mime", "nnet", "openssl", "otel", "pillar", "pkgconfig", "plotly", "pls", "plyr", "promises", "purrr", "R6", "rappdirs", "RColorBrewer", "Rcpp", "reshape2", "rlang", "rmarkdown", "S7", "sass", "scales", "spls", "stringi", "stringr", "sys", "tibble", "tidyr", "tidyselect", "tinytex", "utf8", "vctrs", "viridisLite", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "enpls.Rmd", "filename": "enpls.html", "title": "A Brief Introduction to enpls", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Model fitting", "Cross validation", "Feature importance", "Outlier detection", "Applicability domain evaluation", "Conclusion", "References" ], "created": "2016-06-23 08:34:31", "modified": "2021-12-21 03:55:58", "commits": 14 } ], "_score": 5.556302500767288, "_indexed": true, "_nocasepkg": "enpls", "_universes": [ "nanxstats" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "6.1.1", "date": "2026-05-25T09:31:20.000Z", "distro": "noble", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "105d56d09eba3d35e8522703024423ae77a4bf6710146afb1516fc4abf94ce9e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.6.0", "os": "linux", "version": "6.1.1", "date": "2026-05-25T09:31:21.000Z", "distro": "noble", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "3519493dbb3ee87f98efbeb6dc4598e89adc65e0d09b4a73a6ac9d92fd89d5ea", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.5.3", "os": "mac", "version": "6.1.1", "date": "2026-05-25T09:30:29.000Z", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "4b5d0096a46c71ad944971e0c36b2b0164c0be53d21da34aca835b6751c5e674", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.6.0", "os": "mac", "version": "6.1.1", "date": "2026-05-25T09:30:24.000Z", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "394432032e7b4bf3f6b6557b736964fffd96477eec0a7d0396da193c9c20ca5a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.6.0", "os": "wasm", "version": "6.1.1", "date": "2026-05-25T09:31:20.000Z", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "c8a37af12b401d414a901c098c1f816291f0ffe92e176814c08c58a44bbae716", "status": "success", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.7.0", "os": "win", "version": "6.1.1", "date": "2026-05-25T09:30:20.000Z", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "e35fc9340957da65565ed031066632af28c173933cf5032e4db431be5a0ada07", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.5.3", "os": "win", "version": "6.1.1", "date": "2026-05-25T09:30:24.000Z", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "78b94ff98f23f59c45deef753b6a823f14f6ed760eef7eefcd33ecf29ddcafe5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" }, { "r": "4.6.0", "os": "win", "version": "6.1.1", "date": "2026-05-25T09:30:32.000Z", "commit": "26d3134a19faf5a8bd9b10626538eb57c754d0ac", "fileid": "6aac14d84f8a8a82c92b04a1876aba404ffe1e9d0fef8285478ec78bc4344286", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/26393360275" } ] }