{ "_id": "6a12c303acfb0bcc41d1e5d2", "Package": "Riemann", "Type": "Package", "Title": "Learning with Data on Riemannian Manifolds", "Version": "0.1.7", "Authors@R": "c(person(\"Kisung\", \"You\", role = c(\"aut\", \"cre\"), email = \"kisung.you@outlook.com\",comment=c(ORCID=\"0000-0002-8584-459X\")))", "Description": "We provide a variety of algorithms for manifold-valued\ndata, including Fréchet summaries, hypothesis testing,\nclustering, visualization, and other learning tasks. See\nBhattacharya and Bhattacharya (2012)\n for general exposition to\nstatistics on manifolds.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "URL": "https://www.kisungyou.com/Riemann/", "BugReports": "https://github.com/kisungyou/Riemann/issues", "RoxygenNote": "7.3.3", "RdMacros": "Rdpack", "LazyData": "true", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-24 09:13:39 UTC", "User": "root" }, "Author": "Kisung You [aut, cre] (ORCID:\n)", "Maintainer": "Kisung You ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-03-25 05:10:02 UTC", "RemoteUrl": "https://github.com/cran/Riemann", "RemoteRef": "HEAD", "RemoteSha": "737dd6f09b8a93402306fce14ec481d51734c647", "MD5sum": "6581a48b73cd690144c7ed4446d5258a", "_user": "cran", "_type": "src", "_file": "Riemann_0.1.7.tar.gz", "_fileid": "e325eca02d4adff71af0642221d41dec6c4ddd0a2ec854743e7f9a40feb4cc13", "_filesize": 2530979, "_sha256": "e325eca02d4adff71af0642221d41dec6c4ddd0a2ec854743e7f9a40feb4cc13", "_created": "2026-05-24T09:13:39.000Z", "_published": "2026-05-24T09:21:07.691Z", "_distro": "noble", "_jobs": [ { "job": 77586345835, "time": 297, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7183979791" }, { "job": 77586345819, "time": 272, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7183977245" }, { "job": 77586345824, "time": 294, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7183979533" }, { "job": 77586345842, "time": 287, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7183978901" }, { "job": 77585945564, "time": 416, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7183948064" }, { "job": 77586345814, "time": 240, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7183973400" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26357169441", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/Riemann", "_commit": { "id": "737dd6f09b8a93402306fce14ec481d51734c647", "author": "Kisung You ", "committer": "cran-robot ", "message": "version 0.1.7\n", "time": 1774415402 }, "_maintainer": { "name": "Kisung You", "email": "kisung.you@outlook.com", "login": "kisungyou", "twitter": "@kisung_you", "description": "", "uuid": 22312643, "orcid": "0000-0002-8584-459X" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "Rcpp", "version": ">= 1.0.5", "role": "Imports" }, { "package": "Rdpack", "role": "Imports" }, { "package": "RiemBase", "role": "Imports" }, { "package": "Rdimtools", "role": "Imports" }, { "package": "T4cluster", "role": "Imports" }, { "package": "T4transport", "role": "Imports" }, { "package": "DEoptim", "role": "Imports" }, { "package": "lpSolve", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "maotai", "version": ">= 0.2.2", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-39", "n": 1 }, { "week": "2026-13", "n": 1 } ], "_tags": [ { "name": "0.1.6", "date": "2025-09-26" }, { "name": "0.1.7", "date": "2026-03-25" } ], "_stars": 1, "_contributors": [ { "user": "kisungyou", "count": 2, "uuid": 22312643 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 8235, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Riemann" }, "_devurl": "https://github.com/kisungyou/riemann", "_pkgdown": "https://www.kisungyou.com/Riemann/", "_searchresults": 20, "_topics": [ "openblas", "cpp", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/Riemann.html", "manual.pdf" ], "_homeurl": "https://github.com/kisungyou/riemann", "_realowner": "kisungyou", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2020-09-22" }, { "version": "0.1.1", "date": "2021-05-05" }, { "version": "0.1.3", "date": "2021-06-20" }, { "version": "0.1.4", "date": "2022-02-28" }, { "version": "0.1.6", "date": "2025-09-26" }, { "version": "0.1.7", "date": "2026-03-25" } ], "_exports": [ "dacg", "density", "dmacg", "dsplaplace", "dspnorm", "grassmann.optmacg", "grassmann.runif", "grassmann.utest", "label", "loglkd", "mle.acg", "mle.macg", "mle.splaplace", "mle.spnorm", "moSL", "moSN", "racg", "riem.clrq", "riem.coreset18B", "riem.distlp", "riem.dtw", "riem.fanova", "riem.fanovaP", "riem.hclust", "riem.interp", "riem.interps", "riem.isomap", "riem.kmeans", "riem.kmeans18B", "riem.kmeanspp", "riem.kmedoids", "riem.knn", "riem.kpca", "riem.m2skreg", "riem.m2skregCV", "riem.mds", "riem.mean", "riem.median", "riem.nmshift", "riem.pdist", "riem.pdist2", "riem.pga", "riem.phate", "riem.rmml", "riem.sammon", "riem.sc05Z", "riem.scNJW", "riem.scSM", "riem.scUL", "riem.seb", "riem.test2bg14", "riem.test2wass", "riem.tsne", "riem.wasserstein", "rmacg", "rmvnorm", "rsplaplace", "rspnorm", "spd.geometry", "spd.pdist", "spd.wassbary", "sphere.geo2xyz", "sphere.runif", "sphere.utest", "sphere.xyz2geo", "stiefel.optSA", "stiefel.runif", "stiefel.utest", "wrap.correlation", "wrap.euclidean", "wrap.grassmann", "wrap.landmark", "wrap.multinomial", "wrap.rotation", "wrap.spd", "wrap.spdk", "wrap.sphere", "wrap.stiefel" ], "_datasets": [ { "name": "cities", "title": "Data : Populated Cities in the U.S.", "object": "cities", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "ERP", "title": "Data : EEG Covariances for Event-Related Potentials", "object": "ERP", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "gorilla", "title": "Data : Gorilla Skull", "object": "gorilla", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "hands", "title": "Data : Left Hands", "object": "hands", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "orbital", "title": "Data : Normal Vectors to the Orbital Planes of the 9 Planets", "object": "orbital", "class": [ "matrix", "array" ], "fields": [ "Nx", "Ny", "Nz" ], "rows": 9, "table": true, "tojson": true }, { "name": "passiflora", "title": "Data : Passiflora Leaves", "object": "passiflora", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "acg", "title": "Angular Central Gaussian Distribution", "concept": [ "distribution" ], "topics": [ "acg", "dacg", "mle.acg", "racg" ] }, { "page": "cities", "title": "Data : Populated Cities in the U.S.", "concept": [ "data" ], "topics": [ "cities" ] }, { "page": "density", "title": "S3 method for mixture model : evaluate density", "concept": [ "utility" ], "topics": [ "density" ] }, { "page": "ERP", "title": "Data : EEG Covariances for Event-Related Potentials", "concept": [ "data" ], "topics": [ "ERP" ] }, { "page": "gorilla", "title": "Data : Gorilla Skull", "concept": [ "data" ], "topics": [ "gorilla" ] }, { "page": "grassmann.optmacg", "title": "Estimation of Distribution Algorithm with MACG Distribution", "concept": [ "grassmann" ], "topics": [ "grassmann.optmacg" ] }, { "page": "grassmann.runif", "title": "Generate Uniform Samples on Grassmann Manifold", "concept": [ "grassmann" ], "topics": [ "grassmann.runif" ] }, { "page": "grassmann.utest", "title": "Test of Uniformity on Grassmann Manifold", "concept": [ "grassmann" ], "topics": [ "grassmann.utest" ] }, { "page": "hands", "title": "Data : Left Hands", "concept": [ "data" ], "topics": [ "hands" ] }, { "page": "label", "title": "S3 method for mixture model : predict labels", "concept": [ "utility" ], "topics": [ "label" ] }, { "page": "loglkd", "title": "S3 method for mixture model : log-likelihood", "concept": [ "utility" ], "topics": [ "loglkd" ] }, { "page": "macg", "title": "Matrix Angular Central Gaussian Distribution", "concept": [ "distribution" ], "topics": [ "dmacg", "macg", "mle.macg", "rmacg" ] }, { "page": "moSL", "title": "Finite Mixture of Spherical Laplace Distributions", "concept": [ "sphere" ], "topics": [ "density.moSL", "label.moSL", "loglkd.moSL", "moSL" ] }, { "page": "moSN", "title": "Finite Mixture of Spherical Normal Distributions", "concept": [ "sphere" ], "topics": [ "density.moSN", "label.moSN", "loglkd.moSN", "moSN" ] }, { "page": "orbital", "title": "Data : Normal Vectors to the Orbital Planes of the 9 Planets", "concept": [ "data" ], "topics": [ "orbital" ] }, { "page": "passiflora", "title": "Data : Passiflora Leaves", "concept": [ "data" ], "topics": [ "passiflora" ] }, { "page": "predict.m2skreg", "title": "Prediction for Manifold-to-Scalar Kernel Regression", "concept": [ "inference" ], "topics": [ "predict.m2skreg" ] }, { "page": "riem.clrq", "title": "Competitive Learning Riemannian Quantization", "concept": [ "clustering" ], "topics": [ "riem.clrq" ] }, { "page": "riem.coreset18B", "title": "Build Lightweight Coreset", "concept": [ "learning" ], "topics": [ "riem.coreset18B" ] }, { "page": "riem.distlp", "title": "Distance between Two Curves on Manifolds", "concept": [ "curve" ], "topics": [ "riem.distlp" ] }, { "page": "riem.dtw", "title": "Dynamic Time Warping Distance", "concept": [ "curve" ], "topics": [ "riem.dtw" ] }, { "page": "riem.fanova", "title": "Fréchet Analysis of Variance", "concept": [ "inference" ], "topics": [ "riem.fanova", "riem.fanovaP" ] }, { "page": "riem.hclust", "title": "Hierarchical Agglomerative Clustering", "concept": [ "clustering" ], "topics": [ "riem.hclust" ] }, { "page": "riem.interp", "title": "Geodesic Interpolation", "concept": [ "basic" ], "topics": [ "riem.interp" ] }, { "page": "riem.interps", "title": "Geodesic Interpolation of Multiple Points", "concept": [ "basic" ], "topics": [ "riem.interps" ] }, { "page": "riem.isomap", "title": "Isometric Feature Mapping", "concept": [ "visualization" ], "topics": [ "riem.isomap" ] }, { "page": "riem.kmeans", "title": "K-Means Clustering", "concept": [ "clustering" ], "topics": [ "riem.kmeans" ] }, { "page": "riem.kmeans18B", "title": "K-Means Clustering with Lightweight Coreset", "concept": [ "clustering" ], "topics": [ "riem.kmeans18B" ] }, { "page": "riem.kmeanspp", "title": "K-Means++ Clustering", "concept": [ "clustering" ], "topics": [ "riem.kmeanspp" ] }, { "page": "riem.kmedoids", "title": "K-Medoids Clustering", "concept": [ "clustering" ], "topics": [ "riem.kmedoids" ] }, { "page": "riem.knn", "title": "Find K-Nearest Neighbors", "concept": [ "learning" ], "topics": [ "riem.knn" ] }, { "page": "riem.kpca", "title": "Kernel Principal Component Analysis", "concept": [ "visualization" ], "topics": [ "riem.kpca" ] }, { "page": "riem.m2skreg", "title": "Manifold-to-Scalar Kernel Regression", "concept": [ "inference" ], "topics": [ "riem.m2skreg" ] }, { "page": "riem.m2skregCV", "title": "Manifold-to-Scalar Kernel Regression with K-Fold Cross Validation", "concept": [ "inference" ], "topics": [ "riem.m2skregCV" ] }, { "page": "riem.mds", "title": "Multidimensional Scaling", "concept": [ "visualization" ], "topics": [ "riem.mds" ] }, { "page": "riem.mean", "title": "Fréchet Mean and Variation", "concept": [ "inference" ], "topics": [ "riem.mean" ] }, { "page": "riem.median", "title": "Fréchet Median and Variation", "concept": [ "inference" ], "topics": [ "riem.median" ] }, { "page": "riem.nmshift", "title": "Nonlinear Mean Shift", "concept": [ "clustering" ], "topics": [ "riem.nmshift" ] }, { "page": "riem.pdist", "title": "Compute Pairwise Distances for Data", "concept": [ "basic" ], "topics": [ "riem.pdist" ] }, { "page": "riem.pdist2", "title": "Compute Pairwise Distances for Two Sets of Data", "concept": [ "basic" ], "topics": [ "riem.pdist2" ] }, { "page": "riem.pga", "title": "Principal Geodesic Analysis", "concept": [ "visualization" ], "topics": [ "riem.pga" ] }, { "page": "riem.phate", "title": "PHATE", "concept": [ "visualization" ], "topics": [ "riem.phate" ] }, { "page": "riem.rmml", "title": "Riemannian Manifold Metric Learning", "concept": [ "learning" ], "topics": [ "riem.rmml" ] }, { "page": "riem.sammon", "title": "Sammon Mapping", "concept": [ "visualization" ], "topics": [ "riem.sammon" ] }, { "page": "riem.sc05Z", "title": "Spectral Clustering by Zelnik-Manor and Perona (2005)", "concept": [ "clustering" ], "topics": [ "riem.sc05Z" ] }, { "page": "riem.scNJW", "title": "Spectral Clustering by Ng, Jordan, and Weiss (2002)", "concept": [ "clustering" ], "topics": [ "riem.scNJW" ] }, { "page": "riem.scSM", "title": "Spectral Clustering by Shi and Malik (2000)", "concept": [ "clustering" ], "topics": [ "riem.scSM" ] }, { "page": "riem.scUL", "title": "Spectral Clustering with Unnormalized Laplacian", "concept": [ "clustering" ], "topics": [ "riem.scUL" ] }, { "page": "riem.seb", "title": "Find the Smallest Enclosing Ball", "concept": [ "learning" ], "topics": [ "riem.seb" ] }, { "page": "riem.test2bg14", "title": "Two-Sample Test modified from Biswas and Ghosh (2014)", "concept": [ "inference" ], "topics": [ "riem.test2bg14" ] }, { "page": "riem.test2wass", "title": "Two-Sample Test with Wasserstein Metric", "concept": [ "inference" ], "topics": [ "riem.test2wass" ] }, { "page": "riem.tsne", "title": "t-distributed Stochastic Neighbor Embedding", "concept": [ "visualization" ], "topics": [ "riem.tsne" ] }, { "page": "riem.wasserstein", "title": "Wasserstein Distance between Empirical Measures", "concept": [ "basic" ], "topics": [ "riem.wasserstein" ] }, { "page": "rmvnorm", "title": "Generate Random Samples from Multivariate Normal Distribution", "concept": [ "utility" ], "topics": [ "rmvnorm" ] }, { "page": "spd.geometry", "title": "Supported Geometries on SPD Manifold", "concept": [ "spd" ], "topics": [ "spd.geometry" ] }, { "page": "spd.pdist", "title": "Pairwise Distance on SPD Manifold", "concept": [ "spd" ], "topics": [ "spd.pdist" ] }, { "page": "spd.wassbary", "title": "Wasserstein Barycenter of SPD Matrices", "concept": [ "spd" ], "topics": [ "spd.wassbary" ] }, { "page": "sphere.convert", "title": "Convert between Cartesian Coordinates and Geographic Coordinates", "concept": [ "sphere" ], "topics": [ "sphere.convert", "sphere.geo2xyz", "sphere.xyz2geo" ] }, { "page": "sphere.runif", "title": "Generate Uniform Samples on Sphere", "concept": [ "sphere" ], "topics": [ "sphere.runif" ] }, { "page": "sphere.utest", "title": "Test of Uniformity on Sphere", "concept": [ "sphere" ], "topics": [ "sphere.utest" ] }, { "page": "splaplace", "title": "Spherical Laplace Distribution", "concept": [ "distribution" ], "topics": [ "dsplaplace", "mle.splaplace", "rsplaplace", "splaplace" ] }, { "page": "spnorm", "title": "Spherical Normal Distribution", "concept": [ "distribution" ], "topics": [ "dspnorm", "mle.spnorm", "rspnorm", "spnorm" ] }, { "page": "stiefel.optSA", "title": "Simulated Annealing on Stiefel Manifold", "concept": [ "stiefel" ], "topics": [ "stiefel.optSA" ] }, { "page": "stiefel.runif", "title": "Generate Uniform Samples on Stiefel Manifold", "concept": [ "stiefel" ], "topics": [ "stiefel.runif" ] }, { "page": "stiefel.utest", "title": "Test of Uniformity on Stiefel Manifold", "concept": [ "stiefel" ], "topics": [ "stiefel.utest" ] }, { "page": "wrap.correlation", "title": "Prepare Data on Correlation Manifold", "concept": [ "wrapper" ], "topics": [ "wrap.correlation" ] }, { "page": "wrap.euclidean", "title": "Prepare Data on Euclidean Space", "concept": [ "wrapper" ], "topics": [ "wrap.euclidean" ] }, { "page": "wrap.grassmann", "title": "Prepare Data on Grassmann Manifold", "concept": [ "wrapper" ], "topics": [ "wrap.grassmann" ] }, { "page": "wrap.landmark", "title": "Wrap Landmark Data on Shape Space", "concept": [ "wrapper" ], "topics": [ "wrap.landmark" ] }, { "page": "wrap.multinomial", "title": "Prepare Data on Multinomial Manifold", "concept": [ "wrapper" ], "topics": [ "wrap.multinomial" ] }, { "page": "wrap.rotation", "title": "Prepare Data on Rotation Group", "concept": [ "wrapper" ], "topics": [ "wrap.rotation" ] }, { "page": "wrap.spd", "title": "Prepare Data on Symmetric Positive-Definite (SPD) Manifold", "concept": [ "wrapper" ], "topics": [ "wrap.spd" ] }, { "page": "wrap.spdk", "title": "Prepare Data on SPD Manifold of Fixed-Rank", "concept": [ "wrapper" ], "topics": [ "wrap.spdk" ] }, { "page": "wrap.sphere", "title": "Prepare Data on Sphere", "concept": [ "wrapper" ], "topics": [ "wrap.sphere" ] }, { "page": "wrap.stiefel", "title": "Prepare Data on (Compact) Stiefel Manifold", "concept": [ "wrapper" ], "topics": [ "wrap.stiefel" ] } ], "_pkglogo": "https://github.com/cran/Riemann/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/cran/Riemann/raw/HEAD/README.md", "_rundeps": [ "ADMM", "ash", "backports", "bitops", "checkmate", "clarabel", "cli", "cluster", "codetools", "colorspace", "cpp11", "CVXR", "dbscan", "DEoptim", "deSolve", "doParallel", "farver", "fastcluster", "fda", "fds", "FNN", "foreach", "generics", "ggplot2", "glue", "gmp", "gsignal", "gtable", "hdrcde", "highs", "isoband", "iterators", "kernlab", "KernSmooth", "ks", "labdsv", "labeling", "lattice", "lifecycle", "locfit", "lpSolve", "maotai", "MASS", "Matrix", "mclust", "mclustcomp", "mgcv", "multicool", "mvtnorm", "nlme", "osqp", "pcaPP", "pracma", "R6", "rainbow", "RANN", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppDE", "RcppDist", "RcppEigen", "RCurl", "Rdimtools", "Rdpack", "RiemBase", "rlang", "RSpectra", "rstiefel", "Rtsne", "S7", "scales", "scatterplot3d", "scs", "slam", "T4cluster", "T4transport", "vctrs", "viridisLite", "withr" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_score": 3.2166935991697545, "_indexed": false, "_nocasepkg": "riemann", "_universes": [ "cran" ], "_indexurl": "https://kisungyou.r-universe.dev/Riemann", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.7", "date": "2026-05-24T09:18:06.000Z", "distro": "noble", "arch": "aarch64", "commit": "737dd6f09b8a93402306fce14ec481d51734c647", "fileid": "28593105782f4be3a1d3b59a7c6707ae648c5cad8beafd73f5591b18953eca08", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26357169441" }, { "r": "4.7.0", "os": "linux", "version": "0.1.7", "date": "2026-05-24T09:17:48.000Z", "distro": "noble", "arch": "x86_64", "commit": "737dd6f09b8a93402306fce14ec481d51734c647", "fileid": "b9ab759a5d4c36d32af3333d4c1499032fcd67db2212e7425eddeec7266099c1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26357169441" }, { "r": "4.6.0", "os": "linux", "version": "0.1.7", "date": "2026-05-24T09:17:56.000Z", "distro": "noble", "arch": "aarch64", "commit": "737dd6f09b8a93402306fce14ec481d51734c647", "fileid": "b23b1997c9668c233c177d321dba4bbf7efbc9c97fb0816015883c33b6ad34a7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26357169441" }, { "r": "4.6.0", "os": "linux", "version": "0.1.7", "date": "2026-05-24T09:17:55.000Z", "distro": "noble", "arch": "x86_64", "commit": "737dd6f09b8a93402306fce14ec481d51734c647", "fileid": "2fcb9f1917df7f8a04c09e89e9c70135659f6fd4203debcfcf0505553c8046be", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26357169441" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.7", "date": "2026-05-24T09:18:27.000Z", "arch": "emscripten", "commit": "737dd6f09b8a93402306fce14ec481d51734c647", "fileid": "a2ef7aeaeba9798866222a808d7f6bb7ce4a993c1afca75671ad6bc42e34d901", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26357169441" } ] }