{ "_id": "6a104c1dacfb0bcc41ca0158", "Package": "GenericML", "Title": "Generic Machine Learning Inference", "Version": "0.2.3", "Authors@R": "c(person(given = \"Max\",\nfamily = \"Welz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"welz@ese.eur.nl\",\ncomment = c(ORCID = \"0000-0003-2945-1860\")),\nperson(given = \"Andreas\",\nfamily = \"Alfons\",\nrole = \"aut\",\nemail = \"alfons@ese.eur.nl\",\ncomment = c(ORCID = \"0000-0002-2513-3788\")),\nperson(given = \"Mert\",\nfamily = \"Demirer\",\nrole = \"aut\",\nemail = \"mdemirer@mit.edu\"),\nperson(given = \"Victor\",\nfamily = \"Chernozhukov\",\nrole = \"aut\",\nemail = \"vchern@mit.edu\"))", "Author": "Max Welz [aut, cre] (),\nAndreas Alfons [aut] (),\nMert Demirer [aut], Victor Chernozhukov [aut]", "Maintainer": "Max Welz ", "Description": "Generic Machine Learning Inference on heterogeneous\ntreatment effects in randomized experiments as proposed in\nChernozhukov, Demirer, Duflo and Fernández-Val (2020)\n. This package's workhorse is the 'mlr3'\nframework of Lang et al. (2019) ,\nwhich enables the specification of a wide variety of machine\nlearners. The main functionality, GenericML(), runs Algorithm 1\nin Chernozhukov, Demirer, Duflo and Fernández-Val (2020)\n for a suite of user-specified machine\nlearners. All steps in the algorithm are customizable via setup\nfunctions. Methods for printing and plotting are available for\nobjects returned by GenericML(). Parallel computing is\nsupported.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "URL": "https://github.com/mwelz/GenericML/", "BugReports": "https://github.com/mwelz/GenericML/issues/", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev\nzlib1g-dev", "Repository": "https://mwelz.r-universe.dev", "Date/Publication": "2024-12-23 17:08:16 UTC", "RemoteUrl": "https://github.com/mwelz/genericml", "RemoteRef": "HEAD", "RemoteSha": "06944af8157ec55853f805c1f23b947056db64dc", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-10 07:38:43 UTC", "User": "root" }, "MD5sum": "4e7b8655b49c12cc361e5972c59d1f9a", "_user": "mwelz", "_type": "src", "_file": "GenericML_0.2.3.tar.gz", "_fileid": "a48042b2637e249ef0ea7fca2eaebef7270f9a16e8382ba44a5c7d2c549405d1", "_filesize": 335546, "_sha256": "a48042b2637e249ef0ea7fca2eaebef7270f9a16e8382ba44a5c7d2c549405d1", "_created": "2026-05-10T07:38:43.000Z", "_published": "2026-05-22T12:29:17.671Z", "_distro": "noble", "_jobs": [ { "job": 77379380137, "time": 189, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6902033490" }, { "job": 77379380181, "time": 179, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6902032772" }, { "job": 77379380205, "time": 160, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6902029058" }, { "job": 77379379917, "time": 161, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6902027631" }, { "job": 77379379423, "time": 249, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6902016101" }, { "job": 77379379414, "time": 141, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7160482297" }, { "job": 77379379785, "time": 124, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6902027652" }, { "job": 77379380182, "time": 125, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "6902027798" }, { "job": 77379379763, "time": 137, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "6902028835" } ], "_buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/mwelz/genericml", "_commit": { "id": "06944af8157ec55853f805c1f23b947056db64dc", "author": "mwelz ", "committer": "mwelz ", "message": "updated README\n", "time": 1734973696 }, "_maintainer": { "name": "Max Welz", "email": "welz@ese.eur.nl", "login": "mwelz", "uuid": 50732878, "orcid": "0000-0003-2945-1860" }, "_registered": true, "_dependencies": [ { "package": "ggplot2", "role": "Depends" }, { "package": "mlr3", "role": "Depends" }, { "package": "mlr3learners", "role": "Depends" }, { "package": "sandwich", "role": "Imports" }, { "package": "lmtest", "role": "Imports" }, { "package": "splitstackshape", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "abind", "role": "Imports" }, { "package": "weights", "role": "Imports" }, { "package": "glmnet", "role": "Suggests" }, { "package": "ranger", "role": "Suggests" }, { "package": "rpart", "role": "Suggests" }, { "package": "e1071", "role": "Suggests" }, { "package": "xgboost", "role": "Suggests" }, { "package": "kknn", "role": "Suggests" }, { "package": "DiceKriging", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "nnet", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "mwelz", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 78, "_contributors": [ { "user": "mwelz", "count": 222, "uuid": 50732878 } ], "_userbio": { "uuid": 50732878, "type": "user", "name": "Max Welz", "description": "Postdoc in Statistics" }, "_downloads": { "count": 243, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/GenericML" }, "_devurl": "https://github.com/mwelz/genericml", "_searchresults": 32, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/GenericML.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/mwelz/genericml", "_realowner": "mwelz", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2021-11-24" }, { "version": "0.1.1", "date": "2021-12-07" }, { "version": "0.2.0", "date": "2022-05-06" }, { "version": "0.2.1", "date": "2022-05-12" }, { "version": "0.2.2", "date": "2022-06-18" } ], "_exports": [ "BLP", "CLAN", "GATES", "GenericML", "GenericML_combine", "GenericML_single", "get_best", "get_BLP", "get_CLAN", "get_GATES", "heterogeneity_CLAN", "lambda_parameters", "Med", "propensity_score", "proxy_BCA", "proxy_CATE", "quantile_group", "setup_diff", "setup_plot", "setup_stratify", "setup_vcov", "setup_X1", "TrueIfUnix" ], "_help": [ { "page": "BLP", "title": "Performs BLP regression", "topics": [ "BLP" ] }, { "page": "CLAN", "title": "Performs CLAN", "topics": [ "CLAN" ] }, { "page": "GATES", "title": "Performs GATES regression", "topics": [ "GATES" ] }, { "page": "GenericML", "title": "Generic Machine Learning Inference", "topics": [ "GenericML" ] }, { "page": "GenericML_combine", "title": "Combine several GenericML objects", "topics": [ "GenericML_combine" ] }, { "page": "GenericML_single", "title": "Single iteration of the GenericML algorithm", "topics": [ "GenericML_single" ] }, { "page": "get_best", "title": "Accessor function for the best learner estimates", "topics": [ "get_best" ] }, { "page": "get_BLP", "title": "Accessor function for the BLP generic target estimates", "topics": [ "get_BLP" ] }, { "page": "get_CLAN", "title": "Accessor function for the CLAN generic target estimates", "topics": [ "get_CLAN" ] }, { "page": "get_GATES", "title": "Accessor function for the GATES generic target estimates", "topics": [ "get_GATES" ] }, { "page": "heterogeneity_CLAN", "title": "Evaluate treatment effect heterogeneity along CLAN variables", "topics": [ "heterogeneity_CLAN" ] }, { "page": "lambda_parameters", "title": "Estimate the two lambda parameters", "topics": [ "lambda_parameters" ] }, { "page": "Med", "title": "Calculate lower and upper median", "topics": [ "Med" ] }, { "page": "plot.GenericML", "title": "Plot method for a '\"GenericML\"' object", "topics": [ "plot.GenericML" ] }, { "page": "print.BLP_info", "title": "Print method for a '\"BLP_info\"' object", "topics": [ "print.BLP_info" ] }, { "page": "print.CLAN_info", "title": "Print method for a '\"CLAN_info\"' object", "topics": [ "print.CLAN_info" ] }, { "page": "print.GATES_info", "title": "Print method for a '\"GATES_info\"' object", "topics": [ "print.GATES_info" ] }, { "page": "print.GenericML", "title": "Print method for a 'GenericML' object", "topics": [ "print.GenericML" ] }, { "page": "print.heterogeneity_CLAN", "title": "Print method for a '\"heterogeneity_CLAN\"' object", "topics": [ "print.heterogeneity_CLAN" ] }, { "page": "propensity_score", "title": "Propensity score estimation", "topics": [ "propensity_score" ] }, { "page": "proxy_BCA", "title": "Baseline Conditional Average", "topics": [ "proxy_BCA" ] }, { "page": "proxy_CATE", "title": "Conditional Average Treatment Effect", "topics": [ "proxy_CATE" ] }, { "page": "quantile_group", "title": "Partition a vector into quantile groups", "topics": [ "quantile_group" ] }, { "page": "setup_diff", "title": "Setup function for 'diff' arguments", "topics": [ "setup_diff" ] }, { "page": "setup_plot", "title": "Set up information for a 'GenericML()' plot", "topics": [ "setup_plot" ] }, { "page": "setup_stratify", "title": "Setup function for stratified sampling", "topics": [ "setup_stratify" ] }, { "page": "setup_vcov", "title": "Setup function for 'vcov_control' arguments", "topics": [ "setup_vcov" ] }, { "page": "setup_X1", "title": "Setup function controlling the matrix X_1 in the BLP or GATES regression", "topics": [ "setup_X1" ] }, { "page": "TrueIfUnix", "title": "Check if user's OS is a Unix system", "topics": [ "TrueIfUnix" ] } ], "_readme": "https://github.com/mwelz/genericml/raw/HEAD/README.md", "_rundeps": [ "abind", "backports", "base64enc", "bit", "bit64", "boot", "broom", "bslib", "cachem", "checkmate", "cli", "clipr", "cluster", "codetools", "colorspace", "cpp11", "crayon", "data.table", "digest", "dplyr", "evaluate", "farver", "fastmap", "fontawesome", "forcats", "foreach", "foreign", "Formula", "fs", "future", "future.apply", "gdata", "generics", "ggplot2", "glmnet", "globals", "glue", "gridExtra", "gtable", "gtools", "haven", "highr", "Hmisc", "hms", "htmlTable", "htmltools", "htmlwidgets", "isoband", "iterators", "jomo", "jquerylib", "jsonlite", "knitr", "labeling", "lattice", "lgr", "lifecycle", "listenv", "lme4", "lmtest", "magrittr", "MASS", "Matrix", "memoise", "mice", "mime", "minqa", "mirai", "mitml", "mlbench", "mlr3", "mlr3learners", "mlr3measures", "mlr3misc", "nanonext", "nlme", "nloptr", "nnet", "numDeriv", "ordinal", "palmerpenguins", "pan", "paradox", "parallelly", "pillar", "pkgconfig", "prettyunits", "progress", "PRROC", "purrr", "R6", "rappdirs", "rbibutils", "RColorBrewer", "Rcpp", "RcppEigen", "Rdpack", "readr", "reformulas", "rlang", "rmarkdown", "rpart", "rstudioapi", "S7", "sandwich", "sass", "scales", "shape", "splitstackshape", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "tinytex", "tzdb", "ucminf", "utf8", "uuid", "vctrs", "viridisLite", "vroom", "weights", "withr", "xfun", "yaml", "zoo" ], "_score": 5.096214585346405, "_indexed": true, "_nocasepkg": "genericml", "_universes": [ "mwelz" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.3", "date": "2026-05-10T07:41:28.000Z", "distro": "noble", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "fcc672922d9d51ec983ac37d6a446d93c55572b472ad5b8a9791dc0b44adc3f8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.6.0", "os": "linux", "version": "0.2.3", "date": "2026-05-10T07:41:20.000Z", "distro": "noble", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "590e1466b5c93bc1dbe20b2c69814b29b57cc51d4a953ad80ed5960d78118fc4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.5.3", "os": "mac", "version": "0.2.3", "date": "2026-05-10T07:40:56.000Z", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "374bf9e370e177c902d54c84b4ba56ec123733081f878604859f252e4237f289", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.6.0", "os": "mac", "version": "0.2.3", "date": "2026-05-10T07:40:40.000Z", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "62d58d5fb3e665efe66c9dc9a7725c5a994163aa0971fa907c4edbb18d03eed9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.7.0", "os": "win", "version": "0.2.3", "date": "2026-05-10T07:40:21.000Z", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "b05fc7199d00828852725e493ab6bf13f4bb23192ced23b4312fcde50e43cc1a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.5.3", "os": "win", "version": "0.2.3", "date": "2026-05-10T07:40:06.000Z", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "bd929deeed78ccbbfff006fd173a82525108a1b79f20f2c470707308ae3b52c3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.6.0", "os": "win", "version": "0.2.3", "date": "2026-05-10T07:40:27.000Z", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "5ace55bc55e017ac1eaebcff722392c474a8fc4482e6ec3135ba47f06d47992c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.3", "date": "2026-05-22T12:29:03.000Z", "commit": "06944af8157ec55853f805c1f23b947056db64dc", "fileid": "77260cceb9c49ea2655cf9f85e4b1f04e6534afaf648885388b05043901aa47b", "status": "success", "buildurl": "https://github.com/r-universe/mwelz/actions/runs/25623029519" } ] }