{ "_id": "6ab778cb99f7aa8c6aa30fc1", "Package": "multinomineq", "Type": "Package", "Title": "Bayesian Inference for Multinomial Models with Inequality\nConstraints", "Version": "0.2.6", "Date": "2024-02-19", "Authors@R": "person(\"Daniel W.\", \"Heck\", \nemail = \"daniel.heck@uni-marburg.de\",\nrole = c(\"aut\",\"cre\"),\ncomment = c(ORCID = \"0000-0002-6302-9252\"))", "Maintainer": "Daniel W. Heck ", "Description": "Implements Gibbs sampling and Bayes factors for\nmultinomial models with linear inequality constraints on the\nvector of probability parameters. As special cases, the model\nclass includes models that predict a linear order of binomial\nprobabilities (e.g., p[1] < p[2] < p[3] < .50) and mixture\nmodels assuming that the parameter vector p must be inside the\nconvex hull of a finite number of predicted patterns (i.e.,\nvertices). A formal definition of inequality-constrained\nmultinomial models and the implemented computational methods is\nprovided in: Heck, D.W., & Davis-Stober, C.P. (2019).\nMultinomial models with linear inequality constraints: Overview\nand improvements of computational methods for Bayesian\ninference. Journal of Mathematical Psychology, 91, 70-87.\n. Inequality-constrained\nmultinomial models have applications in the area of judgment\nand decision making to fit and test random utility models\n(Regenwetter, M., Dana, J., & Davis-Stober, C.P. (2011).\nTransitivity of preferences. Psychological Review, 118, 42–56,\n) or to perform outcome-based strategy\nclassification to select the decision strategy that provides\nthe best account for a vector of observed choice frequencies\n(Heck, D.W., Hilbig, B.E., & Moshagen, M. (2017). From\ninformation processing to decisions: Formalizing and comparing\nprobabilistic choice models. Cognitive Psychology, 96, 26–40.\n).", "License": "GPL-3", "URL": "https://github.com/danheck/multinomineq", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.1", "Config/pak/sysreqs": "libglpk-dev", "Repository": "https://danheck.r-universe.dev", "Date/Publication": "2025-07-22 16:02:58 UTC", "RemoteUrl": "https://github.com/danheck/multinomineq", "RemoteRef": "HEAD", "RemoteSha": "65eae0f981b1874b7269720505e694c9d6159c56", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-09-26 07:41:15 UTC", "User": "root" }, "Author": "Daniel W. Heck [aut, cre] (ORCID:\n)", "_user": "danheck", "_type": "src", "_file": "multinomineq_0.2.6.tar.gz", "_fileid": "https://r2.ropensci.org/f44764c91c6f24cbe4eea9d2eb1fb6b84a13cf57ab2a2701e76a4e2df14018da", "_filesize": 1399928, "_sha256": "f44764c91c6f24cbe4eea9d2eb1fb6b84a13cf57ab2a2701e76a4e2df14018da", "_expires": "2027-01-04T07:48:25.000Z", "_created": "2026-09-26T07:41:15.000Z", "_published": "2026-09-26T07:48:27.725Z", "_jobs": [ { "job": 108364446134, "time": 236, "config": "linux-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "10901034100" }, { "job": 108364446127, "time": 234, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "10901450790" }, { "job": 108364446126, "time": 192, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "10901610336" }, { "job": 108364446098, "time": 217, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10900919493" }, { "job": 108364446094, "time": 123, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "10900504618" }, { "job": 108364446129, "time": 288, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "10901450870" }, { "job": 108364446151, "time": 190, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "10900909395" }, { "job": 108364446102, "time": 293, "config": "macos-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10901450878" }, { "job": 108363817286, "time": 256, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10900429400" }, { "job": 108364446067, "time": 157, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10900504654" }, { "job": 108364446105, "time": 295, "config": "windows-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "10901605485" }, { "job": 108364446198, "time": 365, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "10901685027" }, { "job": 108364446154, "time": 225, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "10901585427" }, { "job": 108364446106, "time": 281, "config": "windows-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "10901233548" }, { "job": 108364446200, "time": 238, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "10901460264" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911", "_status": "success", "_upstream": "https://github.com/danheck/multinomineq", "_commit": { "id": "65eae0f981b1874b7269720505e694c9d6159c56", "author": "Daniel Heck ", "committer": "GitHub ", "message": "Update README.md", "time": 1753200178 }, "_maintainer": { "name": "Daniel W. Heck", "email": "daniel.heck@uni-marburg.de", "login": "danheck", "mastodon": "@Daniel_Heck@mastodon.social", "bluesky": "@danielheck.bsky.social", "orcid": "0000-0002-6302-9252", "description": "", "uuid": 9395768 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "RcppProgress", "role": "LinkingTo" }, { "package": "Rcpp", "version": ">= 0.12.11", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "Rglpk", "role": "Imports" }, { "package": "quadprog", "role": "Imports" }, { "package": "coda", "role": "Imports" }, { "package": "RcppXPtrUtils", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "covr", "role": "Suggests" } ], "_owner": "danheck", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 4, "_contributors": [ { "user": "danheck", "count": 158, "uuid": 9395768 } ], "_userbio": { "uuid": 9395768, "type": "user", "name": "Daniel Heck", "followers": 49 }, "_downloads": { "count": 367, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/multinomineq" }, "_devurl": "https://github.com/danheck/multinomineq", "_searchresults": 8, "_topics": [ "openblas", "cpp", "openmp" ], "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/multinomineq.html", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/danheck/multinomineq", "_realowner": "danheck", "_cranurl": true, "_releases": [ { "version": "0.2.1", "date": "2019-05-16" }, { "version": "0.2.3", "date": "2022-02-28" }, { "version": "0.2.4", "date": "2022-08-22" }, { "version": "0.2.5", "date": "2022-11-22" }, { "version": "0.2.6", "date": "2024-02-20" } ], "_exports": [ "Ab_drop_fixed", "Ab_max", "Ab_multinom", "Ab_sort", "Ab_to_V", "add_fixed", "bf_binom", "bf_equality", "bf_multinom", "bf_nonlinear", "binom_to_multinom", "count_binom", "count_multinom", "count_nonlinear", "count_to_bf", "drop_fixed", "find_inside", "inside", "inside_binom", "inside_multinom", "ml_binom", "ml_multinom", "model_weights", "nirt_to_Ab", "population_bf", "postprob", "ppp_binom", "ppp_multinom", "rpbinom", "rpdirichlet", "rpmultinom", "sampling_binom", "sampling_multinom", "sampling_nonlinear", "stochdom_Ab", "stochdom_bf", "strategy_marginal", "strategy_multiattribute", "strategy_postprob", "strategy_to_Ab", "strategy_unique", "V_to_Ab" ], "_datasets": [ { "name": "heck2017", "title": "Data: Multiattribute Decisions (Heck, Hilbig & Moshagen, 2017)", "object": "heck2017", "class": [ "data.frame" ], "fields": [ "B1", "B2", "B3", "B4" ], "rows": 104, "table": true, "tojson": true }, { "name": "heck2017_raw", "title": "Data: Multiattribute Decisions (Heck, Hilbig & Moshagen, 2017)", "object": "heck2017_raw", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "vp", "trial", "pattern", "ttb", "eqw", "wadd", "logoddsdiff", "ttbsteps", "itemtype", "reversedorder", "choice", "rt", "choice.rev", "a1", "a2", "a3", "a4", "b1", "b2", "b3", "b4" ], "rows": 16640, "table": true, "tojson": true }, { "name": "hilbig2014", "title": "Data: Multiattribute Decisions (Hilbig & Moshagen, 2014)", "object": "hilbig2014", "class": [ "data.frame" ], "fields": [ "B1", "B2", "B3" ], "rows": 79, "table": true, "tojson": true }, { "name": "karabatsos2004", "title": "Data: Item Responses Theory (Karabatsos & Sheu, 2004)", "object": "karabatsos2004", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "regenwetter2012", "title": "Data: Ternary Risky Choices (Regenwetter & Davis-Stober, 2012)", "object": "regenwetter2012", "class": [ "matrix", "array" ], "fields": [ "participant", "gamble_set", "a>b", "b>a", "a=b", "a>c", "c>a", "a=c", "a>d", "d>a", "a=d", "a>e", "e>a", "a=e", "b>c", "c>b", "b=c", "b>d", "d>b", "b=d", "b>e", "e>b", "b=e", "c>d", "d>c", "c=d", "c>e", "e>c", "c=e", "d>e", "e>d", "d=e" ], "rows": 90, "table": true, "tojson": true }, { "name": "swop5", "title": "Strict Weak Order Polytope for 5 Elements and Ternary Choices", "object": "swop5", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "multinomineq-package", "title": "multinomineq: Bayesian Inference for Inequality-Constrained Multinomial Models", "topics": [ "multinomineq-package", "multinomineq" ] }, { "page": "Ab_drop_fixed", "title": "Drop fixed columns in the Ab-Representation", "topics": [ "Ab_drop_fixed" ] }, { "page": "Ab_max", "title": "Automatic Construction of Ab-Representation for Common Inequality Constraints", "topics": [ "Ab_max" ] }, { "page": "Ab_multinom", "title": "Get Constraints for Product-Multinomial Probabilities", "topics": [ "Ab_multinom" ] }, { "page": "Ab_sort", "title": "Sort Inequalities by Acceptance Rate", "topics": [ "Ab_sort" ] }, { "page": "bf_binom", "title": "Bayes Factor for Linear Inequality Constraints", "topics": [ "bf_binom", "bf_multinom" ] }, { "page": "bf_equality", "title": "Bayes Factor with Inequality and (Approximate) Equality Constraints", "topics": [ "bf_equality" ] }, { "page": "bf_nonlinear", "title": "Bayes Factor for Nonlinear Inequality Constraints", "topics": [ "bf_nonlinear", "count_nonlinear" ] }, { "page": "binom_to_multinom", "title": "Converts Binary to Multinomial Frequencies", "topics": [ "binom_to_multinom" ] }, { "page": "count_binom", "title": "Count How Many Samples Satisfy Linear Inequalities (Binomial)", "topics": [ "count_binom" ] }, { "page": "count_multinom", "title": "Count How Many Samples Satisfy Linear Inequalities (Multinomial)", "topics": [ "count_multinom" ] }, { "page": "count_to_bf", "title": "Compute Bayes Factor Using Prior/Posterior Counts", "topics": [ "count_to_bf" ] }, { "page": "drop_fixed", "title": "Drop or Add Fixed Dimensions for Multinomial Probabilities/Frequencies", "topics": [ "add_fixed", "drop_fixed" ] }, { "page": "find_inside", "title": "Find a Point/Parameter Vector Within a Convex Polytope", "topics": [ "find_inside" ] }, { "page": "heck2017", "title": "Data: Multiattribute Decisions (Heck, Hilbig & Moshagen, 2017)", "topics": [ "heck2017" ] }, { "page": "heck2017_raw", "title": "Data: Multiattribute Decisions (Heck, Hilbig & Moshagen, 2017)", "topics": [ "heck2017_raw" ] }, { "page": "hilbig2014", "title": "Data: Multiattribute Decisions (Hilbig & Moshagen, 2014)", "topics": [ "hilbig2014" ] }, { "page": "inside", "title": "Check Whether Points are Inside a Convex Polytope", "topics": [ "inside" ] }, { "page": "inside_binom", "title": "Check Whether Choice Frequencies are in Polytope", "topics": [ "inside_binom", "inside_multinom" ] }, { "page": "karabatsos2004", "title": "Data: Item Responses Theory (Karabatsos & Sheu, 2004)", "topics": [ "karabatsos2004" ] }, { "page": "ml_binom", "title": "Maximum-likelihood Estimate", "topics": [ "ml_binom", "ml_multinom" ] }, { "page": "model_weights", "title": "Get Posterior/NML Model Weights", "topics": [ "model_weights" ] }, { "page": "nirt_to_Ab", "title": "Nonparametric Item Response Theory (NIRT)", "topics": [ "nirt_to_Ab" ] }, { "page": "population_bf", "title": "Aggregation of Individual Bayes Factors", "topics": [ "population_bf" ] }, { "page": "postprob", "title": "Transform Bayes Factors to Posterior Model Probabilities", "topics": [ "postprob" ] }, { "page": "ppp_binom", "title": "Posterior Predictive p-Values", "topics": [ "ppp_binom", "ppp_multinom" ] }, { "page": "regenwetter2012", "title": "Data: Ternary Risky Choices (Regenwetter & Davis-Stober, 2012)", "topics": [ "regenwetter2012" ] }, { "page": "rpbinom", "title": "Random Generation for Independent Multinomial Distributions", "topics": [ "rpbinom", "rpmultinom" ] }, { "page": "rpdirichlet", "title": "Random Samples from the Product-Dirichlet Distribution", "topics": [ "rpdirichlet" ] }, { "page": "sampling_multinom", "title": "Posterior Sampling for Inequality-Constrained Multinomial Models", "topics": [ "sampling_binom", "sampling_multinom" ] }, { "page": "sampling_nonlinear", "title": "Posterior Sampling for Multinomial Models with Nonlinear Inequalities", "topics": [ "sampling_nonlinear" ] }, { "page": "stochdom_Ab", "title": "Ab-Representation for Stochastic Dominance of Histogram Bins", "topics": [ "stochdom_Ab" ] }, { "page": "stochdom_bf", "title": "Bayes Factor for Stochastic Dominance of Continuous Distributions", "topics": [ "stochdom_bf" ] }, { "page": "strategy_marginal", "title": "Log-Marginal Likelihood for Decision Strategy", "topics": [ "strategy_marginal" ] }, { "page": "strategy_multiattribute", "title": "Strategy Predictions for Multiattribute Decisions", "topics": [ "strategy_multiattribute" ] }, { "page": "strategy_postprob", "title": "Strategy Classification: Posterior Model Probabilities", "topics": [ "strategy_postprob" ] }, { "page": "strategy_to_Ab", "title": "Transform Pattern of Predictions to Polytope", "topics": [ "strategy_to_Ab" ] }, { "page": "strategy_unique", "title": "Unique Patterns/Item Types of Strategy Predictions", "topics": [ "strategy_unique" ] }, { "page": "swop5", "title": "Strict Weak Order Polytope for 5 Elements and Ternary Choices", "topics": [ "swop5" ] }, { "page": "V_to_Ab", "title": "Transform Vertex/Inequality Representation of Polytope", "topics": [ "Ab_to_V", "V_to_Ab" ] } ], "_readme": "https://github.com/danheck/multinomineq/raw/HEAD/README.md", "_rundeps": [ "coda", "lattice", "quadprog", "Rcpp", "RcppArmadillo", "RcppProgress", "RcppXPtrUtils", "Rglpk", "slam" ], "_sysdeps": [ { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.32+ds-5", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "multinomineq_intro.Rmd", "filename": "multinomineq_intro.html", "title": "multinomineq: Multinomial Models with Inequality Constraints", "author": "Daniel W. Heck", "engine": "knitr::rmarkdown", "headings": [ "Example: Testing the Description-Experience Gap", "Data structure", "Vertex ($V$-)representation", "Inequality ($Ab$-)representation", "Posterior sampling", "Bayes factor", "Increased efficiency for Bayes factor computations", "Data format for multinomial frequencies", "Formal definition of multinomial models with inequality constraints", "Parameters and Likelihood", "Linear Inequality Constraints", "Prior & Posterior", "Reference" ], "created": "2019-01-14 17:37:36", "modified": "2022-11-21 16:32:45", "commits": 10 } ], "_score": 4.301029995663981, "_indexed": true, "_nocasepkg": "multinomineq", "_universes": [ "danheck" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.6", "date": "2026-09-26T07:44:26.000Z", "distro": "resolute", "arch": "aarch64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/889ea11c6e01cf1a05996d7cb00627881d9bf180fca60aaa7f596ed111932c68", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.7.0", "os": "linux", "version": "0.2.6", "date": "2026-09-26T07:44:09.000Z", "distro": "resolute", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/1c7fc667e10478793c372b7346bc7665d73247c8527e051485e2b13eae6b3b81", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.1", "os": "linux", "version": "0.2.6", "date": "2026-09-26T07:43:51.000Z", "distro": "resolute", "arch": "aarch64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/b0451b56b933bd822c2969a43f26d1be22bd7a6fef32b5ffaa44f72709dd8508", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.1", "os": "linux", "version": "0.2.6", "date": "2026-09-26T07:44:01.000Z", "distro": "resolute", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/b8ece1ecc9c16002f1d61c645401b91e89b057058f71bc43d44e712ab233b212", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.5.3", "os": "mac", "version": "0.2.6", "date": "2026-09-26T07:43:06.000Z", "arch": "aarch64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/ebdc165dc1c8651618db89ac02026e580aefed7885ae5f9ef6060252f1cb1741", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.5.3", "os": "mac", "version": "0.2.6", "date": "2026-09-26T07:44:27.000Z", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/3d1b7da83e20ad627ab2f8fdb7aae64a3ec41e8b12049d7b52b5e49a35f54406", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.1", "os": "mac", "version": "0.2.6", "date": "2026-09-26T07:43:38.000Z", "arch": "aarch64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/94fb4ce03032ced98d5d0ef77d39ba3fd61f2e7084a40b0ebe6b66c37e7b2869", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.1", "os": "mac", "version": "0.2.6", "date": "2026-09-26T07:44:31.000Z", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/d6c654337d32520c9e462d29c1cf84723a8887ce17589309980c410978f90b45", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.6", "date": "2026-09-26T07:44:23.000Z", "arch": "emscripten", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/8a225a677bb1ce6e7c59a1ed190747b0f5e99bdbe2b866888d846be55d533970", "status": "success", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.7.0", "os": "win", "version": "0.2.6", "date": "2026-09-26T07:44:55.000Z", "arch": "aarch64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/cf2e2f936173ca4ca66319ad3b35c8ea7d9d5d5c3ffb2adc96765902c6355d80", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.7.0", "os": "win", "version": "0.2.6", "date": "2026-09-26T07:44:23.000Z", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/e26d40776920bd164f11ef93112f2333182843d8f94b42a149466415d1bb004d", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.5.3", "os": "win", "version": "0.2.6", "date": "2026-09-26T07:42:49.000Z", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/e4ba936055f1fcee8cd85f7c2bf570457d97524e7c92bbcdc79878fa01c9aab7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.1", "os": "win", "version": "0.2.6", "date": "2026-09-26T07:44:46.000Z", "arch": "aarch64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/6feb6d0bf442c260b8a3930ada389edae67da436afde12bd793bd6f23d80cbd2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" }, { "r": "4.6.1", "os": "win", "version": "0.2.6", "date": "2026-09-26T07:42:50.000Z", "arch": "x86_64", "commit": "65eae0f981b1874b7269720505e694c9d6159c56", "fileid": "https://r2.ropensci.org/0f458a61ca68c737890ee8a6646268ef9923cbd50899327c5265c379b5d38d25", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/danheck/actions/runs/36227344911" } ] }