{ "_id": "6a1f04c6b401979e7341b843", "Package": "Renvlp", "Type": "Package", "Title": "Computing Envelope Estimators", "Version": "3.4.5", "Date": "2023-09-11", "Author": "Minji Lee, Zhihua Su", "Maintainer": "Minji Lee ", "Description": "Provides a general routine, envMU, which allows estimation\nof the M envelope of span(U) given root n consistent estimators\nof M and U. The routine envMU does not presume a model. This\npackage implements response envelopes, partial response\nenvelopes, envelopes in the predictor space, heteroscedastic\nenvelopes, simultaneous envelopes, scaled response envelopes,\nscaled envelopes in the predictor space, groupwise envelopes,\nweighted envelopes, envelopes in logistic regression, envelopes\nin Poisson regression envelopes in function-on-function linear\nregression, envelope-based Partial Partial Least Squares,\nenvelopes with non-constant error covariance, envelopes with\nt-distributed errors, reduced rank envelopes and reduced rank\nenvelopes with non-constant error covariance. For each of these\nmodel-based routines the package provides inference tools\nincluding bootstrap, cross validation, estimation and\nprediction, hypothesis testing on coefficients are included\nexcept for weighted envelopes. Tools for selection of dimension\ninclude AIC, BIC and likelihood ratio testing. Background is\navailable at Cook, R. D., Forzani, L. and Su, Z. (2016)\n. Optimization is based on a\nclockwise coordinate descent algorithm.", "License": "GPL-2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-18 07:34:30 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-10-10 22:30:36 UTC", "RemoteUrl": "https://github.com/cran/Renvlp", "RemoteRef": "HEAD", "RemoteSha": "6fe7c0178fdecde9188cd2f2ae8cf95d245851c7", "MD5sum": "23977771bb0a16a6ecf7c286df8daf52", "_user": "cran", "_type": "src", "_file": "Renvlp_3.4.5.tar.gz", "_fileid": "d7642b702ba22bb598ac648fbd4a4c67e40a8fdbfb432f761585064dbd92dcfe", "_filesize": 559005, "_sha256": "d7642b702ba22bb598ac648fbd4a4c67e40a8fdbfb432f761585064dbd92dcfe", "_created": "2026-05-18T07:34:30.000Z", "_published": "2026-06-02T16:28:54.431Z", "_distro": "noble", "_jobs": [ { "job": 79120613666, "time": 150, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7051978783" }, { "job": 79120613787, "time": 151, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7051979511" }, { "job": 79120613368, "time": 172, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7051932840" }, { "job": 79120613103, "time": 105, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7363758457" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26019632818", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/Renvlp", "_commit": { "id": "6fe7c0178fdecde9188cd2f2ae8cf95d245851c7", "author": "Minji Lee ", "committer": "cran-robot ", "message": "version 3.4.5\n", "time": 1696977036 }, "_maintainer": { "name": "Minji Lee", "email": "minjilee101@gmail.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rsolnp", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "orthogonalsplinebasis", "role": "Imports" }, { "package": "pls", "role": "Imports" }, { "package": "matrixcalc", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "MASS", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 1, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 216, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Renvlp" }, "_searchresults": 85, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/Renvlp.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "2.5", "date": "2018-01-18" }, { "version": "2.6", "date": "2019-02-19" }, { "version": "2.6.5", "date": "2019-03-04" }, { "version": "2.7", "date": "2019-07-22" }, { "version": "2.8", "date": "2020-03-16" }, { "version": "2.9", "date": "2020-11-15" }, { "version": "3.0", "date": "2021-09-11" }, { "version": "3.1", "date": "2022-05-13" }, { "version": "3.2", "date": "2022-08-07" }, { "version": "3.3", "date": "2023-01-07" }, { "version": "3.4", "date": "2023-04-19" }, { "version": "3.4.5", "date": "2023-10-10" } ], "_exports": [ "boot.env", "boot.env.apweights", "boot.env.tcond", "boot.eppls", "boot.genv", "boot.henv", "boot.logit.env", "boot.penv", "boot.pois.env", "boot.rrenv", "boot.rrenv.apweights", "boot.senv", "boot.stenv", "boot.sxenv", "boot.xenv", "cv.env", "cv.env.apweights", "cv.env.tcond", "cv.eppls", "cv.genv", "cv.henv", "cv.logit.env", "cv.penv", "cv.pois.env", "cv.rrenv", "cv.rrenv.apweights", "cv.senv", "cv.stenv", "cv.sxenv", "cv.xenv", "d.select", "env", "env.apweights", "env.tcond", "eppls", "felmdir", "felmKL", "genv", "henv", "logit.env", "penv", "pois.env", "pred.env", "pred.env.apweights", "pred.env.tcond", "pred.eppls", "pred.felmdir", "pred.felmKL", "pred.genv", "pred.henv", "pred.logit.env", "pred.penv", "pred.pois.env", "pred.rrenv", "pred.rrenv.apweights", "pred.senv", "pred.stenv", "pred.sxenv", "pred.xenv", "pred2.env", "rrenv", "rrenv.apweights", "senv", "stenv", "sxenv", "testcoef.env", "testcoef.env.apweights", "testcoef.env.tcond", "testcoef.genv", "testcoef.henv", "testcoef.logit.env", "testcoef.penv", "testcoef.pois.env", "testcoef.rrenv", "testcoef.rrenv.apweights", "testcoef.senv", "testcoef.stenv", "testcoef.sxenv", "testcoef.xenv", "u.env", "u.env.apweights", "u.env.tcond", "u.eppls", "u.felmdir", "u.felmKL", "u.genv", "u.henv", "u.logit.env", "u.penv", "u.pois.env", "u.pred2.env", "u.rrenv", "u.rrenv.apweights", "u.senv", "u.stenv", "u.sxenv", "u.xenv", "weighted.env", "weighted.penv", "weighted.pred.env", "weighted.xenv", "xenv" ], "_datasets": [ { "name": "amitriptyline", "title": "Amitriptyline Data", "object": "amitriptyline", "file": "amitriptyline.rda", "class": [ "data.frame" ], "fields": [ "tot", "ami", "gen", "amt", "pr", "diap", "qrs" ], "rows": 17, "table": true, "tojson": true }, { "name": "Berkeley", "title": "Berkeley Guidance Study Data", "object": "Berkeley", "file": "Berkeley.rda", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32" ], "rows": 93, "table": true, "tojson": true }, { "name": "concrete", "title": "Concrete Slump Test Dataset", "object": "concrete", "file": "concrete.rda", "class": [ "data.frame" ], "fields": [ "Cement", "Slag", "Fly_ash", "Water", "SP", "Coarse_Aggr", "Fine_Aggr", "Slump", "Flow", "Strength" ], "rows": 103, "table": true, "tojson": true }, { "name": "fiberpaper", "title": "Pulp and Paper Data", "object": "fiberpaper", "file": "fiberpaper.rda", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8" ], "rows": 62, "table": true, "tojson": true }, { "name": "horseshoecrab", "title": "Horseshoe Crab Data", "object": "horseshoecrab", "file": "horseshoecrab.rda", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5" ], "rows": 173, "table": true, "tojson": true }, { "name": "NJdata", "title": "New Jersey Open Covid-19 Dataset", "object": "NJdata", "file": "NJdata.rda", "class": [ "data.frame" ], "fields": [ "key", "date", "mobility_retail_and_recreation", "mobility_grocery_and_pharmacy", "mobility_workplaces", "new_confirmed", "new_deceased", "average_temperature", "rainfall" ], "rows": 1281, "table": true, "tojson": true }, { "name": "sales", "title": "Sales staff Data", "object": "sales", "file": "sales.rda", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7" ], "rows": 50, "table": true, "tojson": true }, { "name": "vehicles", "title": "Automobile Dataset", "object": "vehicles", "file": "vehicles.rda", "class": [ "data.frame" ], "fields": [ "turbo", "two.doors", "hatchback", "wheel.base", "length", "width", "height", "curb.weight", "eng.size", "horsepower", "peak.rpm", "price", "symbol", "city.mpg", "highway.mpg" ], "rows": 30, "table": true, "tojson": true }, { "name": "waterstrider", "title": "Water strider data", "object": "waterstrider", "file": "waterstrider.rda", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9" ], "rows": 90, "table": true, "tojson": true }, { "name": "wheatprotein", "title": "Wheat Protein Data", "object": "wheatprotein", "file": "wheatprotein.rda", "class": [ "data.frame" ], "fields": [ "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8" ], "rows": 50, "table": true, "tojson": true } ], "_help": [ { "page": "Renvlp", "title": "Computing Envelope Estimators", "topics": [ "Renvlp-package" ] }, { "page": "amitriptyline", "title": "Amitriptyline Data", "topics": [ "amitriptyline" ] }, { "page": "Berkeley", "title": "Berkeley Guidance Study Data", "topics": [ "Berkeley" ] }, { "page": "boot.env", "title": "Bootstrap for env", "topics": [ "boot.env" ] }, { "page": "boot.env.apweights", "title": "Bootstrap for env.apweights", "topics": [ "boot.env.apweights" ] }, { "page": "boot.env.tcond", "title": "Bootstrap for env.tcond", "topics": [ "boot.env.tcond" ] }, { "page": "boot.eppls", "title": "Bootstrap for eppls", "topics": [ "boot.eppls" ] }, { "page": "boot.genv", "title": "Bootstrap for genv", "topics": [ "boot.genv" ] }, { "page": "boot.henv", "title": "Bootstrap for henv", "topics": [ "boot.henv" ] }, { "page": "boot.logit.env", "title": "Bootstrap for logit.env", "topics": [ "boot.logit.env" ] }, { "page": "boot.penv", "title": "Bootstrap for penv", "topics": [ "boot.penv" ] }, { "page": "boot.pois.env", "title": "Bootstrap for pois.env", "topics": [ "boot.pois.env" ] }, { "page": "boot.rrenv", "title": "Bootstrap for rrenv", "topics": [ "boot.rrenv" ] }, { "page": "boot.rrenv.apweights", "title": "Bootstrap for rrenv.apweights", "topics": [ "boot.rrenv.apweights" ] }, { "page": "boot.senv", "title": "Bootstrap for senv", "topics": [ "boot.senv" ] }, { "page": "boot.stenv", "title": "Bootstrap for stenv", "topics": [ "boot.stenv" ] }, { "page": "boot.sxenv", "title": "Bootstrap for sxenv", "topics": [ "boot.sxenv" ] }, { "page": "boot.xenv", "title": "Bootstrap for xenv", "topics": [ "boot.xenv" ] }, { "page": "concrete", "title": "Concrete Slump Test Dataset", "topics": [ "concrete" ] }, { "page": "cv.env", "title": "Cross validation for env", "topics": [ "cv.env" ] }, { "page": "cv.env.apweights", "title": "Cross validation for env.apweights", "topics": [ "cv.env.apweights" ] }, { "page": "cv.env.tcond", "title": "Cross validation for env.tcond", "topics": [ "cv.env.tcond" ] }, { "page": "cv.eppls", "title": "Cross validation for peplos", "topics": [ "cv.eppls" ] }, { "page": "cv.genv", "title": "Cross validation for genv", "topics": [ "cv.genv" ] }, { "page": "cv.henv", "title": "Cross validation for henv", "topics": [ "cv.henv" ] }, { "page": "cv.logit.env", "title": "Cross validation for logit.env", "topics": [ "cv.logit.env" ] }, { "page": "cv.penv", "title": "Cross validation for penv", "topics": [ "cv.penv" ] }, { "page": "cv.pois.env", "title": "Cross validation for pois.env", "topics": [ "cv.pois.env" ] }, { "page": "cv.rrenv", "title": "Cross validation for rrenv", "topics": [ "cv.rrenv" ] }, { "page": "cv.rrenv.apweights", "title": "Cross validation for rrenv.apweights", "topics": [ "cv.rrenv.apweights" ] }, { "page": "cv.senv", "title": "Cross validation for senv", "topics": [ "cv.senv" ] }, { "page": "cv.stenv", "title": "Cross validation for stenv", "topics": [ "cv.stenv" ] }, { "page": "cv.sxenv", "title": "Cross validation for sxenv", "topics": [ "cv.sxenv" ] }, { "page": "cv.xenv", "title": "Cross validation for xenv", "topics": [ "cv.xenv" ] }, { "page": "d.select", "title": "Select the rank of beta", "topics": [ "d.select" ] }, { "page": "env", "title": "Fit the response envelope model", "topics": [ "env" ] }, { "page": "env.apweights", "title": "Fit the envelope model with nonconstant variance", "topics": [ "env.apweights" ] }, { "page": "env.tcond", "title": "Fit the envelope model with t-distributed errors", "topics": [ "env.tcond" ] }, { "page": "eppls", "title": "Fit the Envelope-based Partial Partial Least Squares model", "topics": [ "eppls" ] }, { "page": "felmdir", "title": "Fit the functional envelope linear model", "topics": [ "felmdir" ] }, { "page": "felmKL", "title": "Fit the functional envelope linear model", "topics": [ "felmKL" ] }, { "page": "fiberpaper", "title": "Pulp and Paper Data", "topics": [ "fiberpaper" ] }, { "page": "genv", "title": "Fit the groupwise envelope model", "topics": [ "genv" ] }, { "page": "henv", "title": "Fit the heteroscedastic envelope model", "topics": [ "henv" ] }, { "page": "horseshoecrab", "title": "Horseshoe Crab Data", "topics": [ "horseshoecrab" ] }, { "page": "logit.env", "title": "Fit the envelope model in logistic regression", "topics": [ "logit.env" ] }, { "page": "NJdata", "title": "New Jersey Open Covid-19 Dataset", "topics": [ "NJdata" ] }, { "page": "penv", "title": "Fit the partial envelope model", "topics": [ "penv" ] }, { "page": "pois.env", "title": "Fit the envelope model in poisson regression", "topics": [ "pois.env" ] }, { "page": "pred.env", "title": "Estimation or prediction for env", "topics": [ "pred.env" ] }, { "page": "pred.env.apweights", "title": "Estimation or prediction for env.apweights", "topics": [ "pred.env.apweights" ] }, { "page": "pred.env.tcond", "title": "Estimation or prediction for env.tcond", "topics": [ "pred.env.tcond" ] }, { "page": "pred.eppls", "title": "Estimation or prediction for eppls", "topics": [ "pred.eppls" ] }, { "page": "pred.felmdir", "title": "Estimation or prediction for felmdir", "topics": [ "pred.felmdir" ] }, { "page": "pred.felmKL", "title": "Estimation or prediction for felmKL", "topics": [ "pred.felmKL" ] }, { "page": "pred.genv", "title": "Estimation or prediction for genv", "topics": [ "pred.genv" ] }, { "page": "pred.henv", "title": "Estimation or prediction for henv", "topics": [ "pred.henv" ] }, { "page": "pred.logit.env", "title": "Estimation or prediction for logit.env", "topics": [ "pred.logit.env" ] }, { "page": "pred.penv", "title": "Estimation or prediction for penv", "topics": [ "pred.penv" ] }, { "page": "pred.pois.env", "title": "Estimation or prediction for pois.env", "topics": [ "pred.pois.env" ] }, { "page": "pred.rrenv", "title": "Estimation or prediction for rrenv", "topics": [ "pred.rrenv" ] }, { "page": "pred.rrenv.apweights", "title": "Estimation or prediction for rrenv.apweights", "topics": [ "pred.rrenv.apweights" ] }, { "page": "pred.senv", "title": "Estimation or prediction for senv", "topics": [ "pred.senv" ] }, { "page": "pred.stenv", "title": "Estimation or prediction for stenv", "topics": [ "pred.stenv" ] }, { "page": "pred.sxenv", "title": "Estimation or prediction for sxenv", "topics": [ "pred.sxenv" ] }, { "page": "pred.xenv", "title": "Estimation or prediction for xenv", "topics": [ "pred.xenv" ] }, { "page": "pred2.env", "title": "Estimation or prediction for env", "topics": [ "pred2.env" ] }, { "page": "rrenv", "title": "Fit the reduced-rank envelope model", "topics": [ "rrenv" ] }, { "page": "rrenv.apweights", "title": "Fit the reduced-rank envelope model with nonconstant variance", "topics": [ "rrenv.apweights" ] }, { "page": "sales", "title": "Sales staff Data", "topics": [ "sales" ] }, { "page": "senv", "title": "Fit the scaled response envelope model", "topics": [ "senv" ] }, { "page": "stenv", "title": "Fit the simultaneous envelope model", "topics": [ "stenv" ] }, { "page": "sxenv", "title": "Fit the scaled predictor envelope model", "topics": [ "sxenv" ] }, { "page": "testcoef.env", "title": "Hypothesis test of the coefficients of the response envelope model", "topics": [ "testcoef.env" ] }, { "page": "testcoef.env.apweights", "title": "Hypothesis test of the coefficients of the response envelope model with nonconstant variance", "topics": [ "testcoef.env.apweights" ] }, { "page": "testcoef.env.tcond", "title": "Hypothesis test of the coefficients of the response envelope model with t-distributed errors", "topics": [ "testcoef.env.tcond" ] }, { "page": "testcoef.genv", "title": "Hypothesis test of the coefficients of the groupwise envelope model", "topics": [ "testcoef.genv" ] }, { "page": "testcoef.henv", "title": "Hypothesis test of the coefficients of the heteroscedastic envelope model", "topics": [ "testcoef.henv" ] }, { "page": "testcoef.logit.env", "title": "Hypothesis test of the coefficients of the envelope model", "topics": [ "testcoef.logit.env" ] }, { "page": "testcoef.penv", "title": "Hypothesis test of the coefficients of the partial envelope model", "topics": [ "testcoef.penv" ] }, { "page": "testcoef.pois.env", "title": "Hypothesis test of the coefficients of the envelope model", "topics": [ "testcoef.pois.env" ] }, { "page": "testcoef.rrenv", "title": "Hypothesis test of the coefficients of the reduced rank envelope model", "topics": [ "testcoef.rrenv" ] }, { "page": "testcoef.rrenv.apweights", "title": "Hypothesis test of the coefficients of the reduced rank envelope model with nonconstant error variance", "topics": [ "testcoef.rrenv.apweights" ] }, { "page": "testcoef.senv", "title": "Hypothesis test of the coefficients of the scaled response envelope model", "topics": [ "testcoef.senv" ] }, { "page": "testcoef.stenv", "title": "Hypothesis test of the coefficients of the simultaneous envelope model", "topics": [ "testcoef.stenv" ] }, { "page": "testcoef.sxenv", "title": "Hypothesis test of the coefficients of the scaled predictor envelope model", "topics": [ "testcoef.sxenv" ] }, { "page": "testcoef.xenv", "title": "Hypothesis test of the coefficients of the predictor envelope model", "topics": [ "testcoef.xenv" ] }, { "page": "u.env", "title": "Select the dimension of env", "topics": [ "u.env" ] }, { "page": "u.env.apweights", "title": "Select the dimension of env.apweights", "topics": [ "u.env.apweights" ] }, { "page": "u.env.tcond", "title": "Select the dimension of env.tcond", "topics": [ "u.env.tcond" ] }, { "page": "u.eppls", "title": "Select the dimension of eppls", "topics": [ "u.eppls" ] }, { "page": "u.felmdir", "title": "Find the envelope dimensions in the functional envelope linear model", "topics": [ "u.felmdir" ] }, { "page": "u.felmKL", "title": "Find the envelope dimensions in the functional envelope linear model", "topics": [ "u.felmKL" ] }, { "page": "u.genv", "title": "Select the dimension of genv", "topics": [ "u.genv" ] }, { "page": "u.henv", "title": "Select the dimension of henv", "topics": [ "u.henv" ] }, { "page": "u.logit.env", "title": "Select the dimension of logit.env", "topics": [ "u.logit.env" ] }, { "page": "u.penv", "title": "Select the dimension of penv", "topics": [ "u.penv" ] }, { "page": "u.pois.env", "title": "Select the dimension of pois.env", "topics": [ "u.pois.env" ] }, { "page": "u.pred2.env", "title": "Select the dimension of the constructed partial envelope for prediction based on envelope model", "topics": [ "u.pred2.env" ] }, { "page": "u.rrenv", "title": "Select the dimension of rrenv", "topics": [ "u.rrenv" ] }, { "page": "u.rrenv.apweights", "title": "Select the dimension of rrenv.apweights", "topics": [ "u.rrenv.apweights" ] }, { "page": "u.senv", "title": "Select the dimension of senv", "topics": [ "u.senv" ] }, { "page": "u.stenv", "title": "Select the dimension of stenv", "topics": [ "u.stenv" ] }, { "page": "u.sxenv", "title": "Select the dimension of sxenv", "topics": [ "u.sxenv" ] }, { "page": "u.xenv", "title": "Select the dimension of xenv", "topics": [ "u.xenv" ] }, { "page": "vehicles", "title": "Automobile Dataset", "topics": [ "vehicles" ] }, { "page": "waterstrider", "title": "Water strider data", "topics": [ "waterstrider" ] }, { "page": "weighted.env", "title": "Weighted response envelope estimator", "topics": [ "weighted.env" ] }, { "page": "weighted.penv", "title": "Weighted partial envelope estimator", "topics": [ "weighted.penv" ] }, { "page": "weighted.pred.env", "title": "Estimation or prediction using weighted partial envelope", "topics": [ "weighted.pred.env" ] }, { "page": "weighted.xenv", "title": "Weighted predictor envelope estimator", "topics": [ "weighted.xenv" ] }, { "page": "wheatprotein", "title": "Wheat Protein Data", "topics": [ "wheatprotein" ] }, { "page": "xenv", "title": "Fit the predictor envelope model", "topics": [ "xenv" ] } ], "_rundeps": [ "codetools", "digest", "future", "future.apply", "globals", "lattice", "listenv", "Matrix", "matrixcalc", "numDeriv", "orthogonalsplinebasis", "parallelly", "pls", "Rcpp", "RcppArmadillo", "Rsolnp", "truncnorm" ], "_score": 2.406540180433955, "_indexed": true, "_nocasepkg": "renvlp", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "3.4.5", "date": "2026-05-18T07:36:29.000Z", "distro": "noble", "commit": "6fe7c0178fdecde9188cd2f2ae8cf95d245851c7", "fileid": "881e0963a238e674f55e5a617b274627ee611601183a9ee24a54348efbdce4f0", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26019632818" }, { "r": "4.6.0", "os": "linux", "version": "3.4.5", "date": "2026-05-18T07:36:36.000Z", "distro": "noble", "commit": "6fe7c0178fdecde9188cd2f2ae8cf95d245851c7", "fileid": "884e9e7b96413068a6ab0119ca228b42886854c6c25a2da83c61214738a5fe55", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/cran/actions/runs/26019632818" }, { "r": "4.6.0", "os": "wasm", "version": "3.4.5", "date": "2026-06-02T16:28:33.000Z", "commit": "6fe7c0178fdecde9188cd2f2ae8cf95d245851c7", "fileid": "33fefedf3ebb98fe478bf50ee4fe924946edaa619387e817b7a9d0d7eb23fc2f", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26019632818" } ] }