{ "_id": "6a630cead3420cf5dfdb66f8", "Package": "fmrilss", "Type": "Package", "Title": "Least Squares Separate (LSS) Analysis for fMRI Data", "Version": "0.1.0", "Authors@R": "person(given = \"Brad\",\nfamily = \"Buchsbaum\",\nrole = c(\"aut\", \"cre\"),\nemail = \"brad.buchsbaum@gmail.com\")", "Description": "Implements efficient least squares separate (LSS) analysis\nfor functional magnetic resonance imaging (fMRI) data. LSS is\nused to estimate trial-by-trial activation patterns in\nevent-related fMRI designs. The package provides both R and C++\nimplementations for computational efficiency.", "License": "GPL-3", "Encoding": "UTF-8", "Additional_repositories": "https://bbuchsbaum.r-universe.dev", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "URL": "https://bbuchsbaum.github.io/fmrilss/,\nhttps://github.com/bbuchsbaum/fmrilss", "BugReports": "https://github.com/bbuchsbaum/fmrilss/issues", "Language": "en-US", "Config/Needs/website": "albersdown", "Repository": "https://bbuchsbaum.r-universe.dev", "Date/Publication": "2026-05-05 14:04:55 UTC", "RemoteUrl": "https://github.com/bbuchsbaum/fmrilss", "RemoteRef": "HEAD", "RemoteSha": "e8d305562b96353856e2bea2ff1e72fa66d16805", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-24 06:16:10 UTC", "User": "root" }, "Author": "Brad Buchsbaum [aut, cre]", "Maintainer": "Brad Buchsbaum ", "_user": "bbuchsbaum", "_type": "src", "_file": "fmrilss_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/3c7c5bb98d52b0f6d7475a7d042082d5a0d31cc47de03ce3c0b84c263d2d9555", "_filesize": 2587483, "_sha256": "3c7c5bb98d52b0f6d7475a7d042082d5a0d31cc47de03ce3c0b84c263d2d9555", "_expires": "2026-11-01T06:57:44.000Z", "_created": "2026-07-24T06:16:10.000Z", "_published": "2026-07-24T06:57:46.415Z", "_jobs": [ { "job": 89414161638, "time": 265, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "8588383044" }, { "job": 89414161671, "time": 298, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8588392729" }, { "job": 89414161629, "time": 226, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8588371777" }, { "job": 89414161639, "time": 277, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8588386708" }, { "job": 89414161624, "time": 184, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "8588962016" }, { "job": 89414161588, "time": 392, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "8589033933" }, { "job": 89414161622, "time": 198, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8589004340" }, { "job": 89414161608, "time": 327, "config": "macos-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8589048847" }, { "job": 89413321270, "time": 342, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8588303865" }, { "job": 89414161585, "time": 187, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8588359895" }, { "job": 89414161648, "time": 266, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8588383204" }, { "job": 89414161621, "time": 252, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "8588379386" }, { "job": 89414161612, "time": 268, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8588384480" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709", "_status": "success", "_upstream": "https://github.com/bbuchsbaum/fmrilss", "_commit": { "id": "e8d305562b96353856e2bea2ff1e72fa66d16805", "author": "bbuchsbaum ", "committer": "bbuchsbaum ", "message": "Update lss_naive example and package metadata\n", "time": 1777989895 }, "_maintainer": { "name": "Brad Buchsbaum", "email": "brad.buchsbaum@gmail.com", "login": "bbuchsbaum", "description": "", "uuid": 53819 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "roptim", "role": "LinkingTo" }, { "package": "bigmemory", "role": "LinkingTo" }, { "package": "BH", "role": "LinkingTo" }, { "package": "MASS", "role": "Imports" }, { "package": "Rcpp", "version": ">= 0.12.0", "role": "Imports" }, { "package": "fmrihrf", "version": ">= 0.1.0", "role": "Imports" }, { "package": "fmriAR", "version": ">= 0.0.0.9000", "role": "Imports" }, { "package": "bigmemory", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "glmnet", "role": "Imports" }, { "package": "spelling", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "progress", "role": "Suggests" }, { "package": "fmridesign", "role": "Suggests" }, { "package": "Matrix", "role": "Suggests" }, { "package": "albersdown", "role": "Suggests" } ], "_owner": "bbuchsbaum", "_selfowned": true, "_usedby": 2, "_updates": [ { "week": "2025-34", "n": 7 }, { "week": "2025-38", "n": 15 }, { "week": "2025-39", "n": 2 }, { "week": "2025-40", "n": 1 }, { "week": "2025-44", "n": 3 }, { "week": "2025-45", "n": 4 }, { "week": "2026-06", "n": 3 }, { "week": "2026-08", "n": 6 }, { "week": "2026-13", "n": 12 }, { "week": "2026-15", "n": 9 }, { "week": "2026-19", "n": 1 } ], "_tags": [], "_stars": 1, "_contributors": [ { "user": "bbuchsbaum", "count": 103, "uuid": 53819 } ], "_userbio": { "uuid": 53819, "type": "user", "name": "bbuchsbaum", "followers": 35 }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/fmrilss" }, "_devurl": "https://github.com/bbuchsbaum/fmrilss", "_pkgdown": "https://bbuchsbaum.github.io/fmrilss/", "_searchresults": 23, "_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/fmrilss.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_cranurl": false, "_exports": [ "benchmark_mixed_solve", "calculate_recovery_metrics", "compare_hrf_recovery", "create_lwu_grid", "estimate_voxel_hrf", "fit_oasis_grid", "generate_lwu_data", "generate_rapid_design", "get_data_matrix", "item_build_design", "item_compute_u", "item_cv", "item_fit", "item_from_lsa", "item_predict", "item_slice_fold", "lsa", "lss", "lss_beta_cpp", "lss_cpp_optimized", "lss_design", "lss_naive", "lss_naive_fit", "lss_optimized", "lss_optimized_fit", "lss_sbhm", "lss_sbhm_design", "lss_with_hrf", "mixed_precompute", "mixed_solve", "mixed_solve_cpp", "mixed_solve_optimized", "oasis_options", "plot_hrf_comparison", "prewhiten_options", "project_confounds", "project_confounds_cpp", "sbhm_build", "sbhm_hrf", "sbhm_match", "sbhm_prepass", "sbhm_project", "stglmnet_options" ], "_help": [ { "page": "benchmark_mixed_solve", "title": "Benchmark Mixed Model Implementations", "topics": [ "benchmark_mixed_solve" ] }, { "page": "calculate_recovery_metrics", "title": "Calculate HRF Recovery Metrics", "topics": [ "calculate_recovery_metrics" ] }, { "page": "compare_hrf_recovery", "title": "Compare HRF Recovery Methods", "topics": [ "compare_hrf_recovery" ] }, { "page": "create_lwu_grid", "title": "Create LWU HRF Grid for OASIS Search", "topics": [ "create_lwu_grid" ] }, { "page": "estimate_voxel_hrf", "title": "Estimate Voxel-wise HRF Basis Coefficients", "topics": [ "estimate_voxel_hrf" ] }, { "page": "fit_oasis_grid", "title": "Fit OASIS with HRF Grid Search", "topics": [ "fit_oasis_grid" ] }, { "page": "fmrilss_options", "title": "Option constructors for nested interfaces", "topics": [ "fmrilss_options" ] }, { "page": "generate_lwu_data", "title": "Generate Synthetic fMRI Data with LWU HRF", "topics": [ "generate_lwu_data" ] }, { "page": "generate_rapid_design", "title": "OASIS HRF Recovery Testing Functions", "topics": [ "generate_rapid_design" ] }, { "page": "item_build_design", "title": "Build ITEM design metadata", "topics": [ "item_build_design" ] }, { "page": "item_compute_u", "title": "Compute ITEM trial covariance matrix", "topics": [ "item_compute_u" ] }, { "page": "item_cv", "title": "Crossvalidated ITEM decoding", "topics": [ "item_cv" ] }, { "page": "item_fit", "title": "Fit ITEM decoder weights", "topics": [ "item_fit" ] }, { "page": "item_from_lsa", "title": "Build an ITEM bundle from LS-A estimates", "topics": [ "item_from_lsa" ] }, { "page": "item_predict", "title": "Predict targets from ITEM weights", "topics": [ "item_predict" ] }, { "page": "item_slice_fold", "title": "Slice an ITEM bundle into train/test fold objects", "topics": [ "item_slice_fold" ] }, { "page": "lsa", "title": "Least Squares All (LSA) Analysis", "topics": [ "lsa" ] }, { "page": "lss", "title": "Least Squares Separate (LSS) Analysis", "topics": [ "lss" ] }, { "page": "lss_beta_cpp", "title": "Vectorized LSS Beta Computation Using C++", "topics": [ "lss_beta_cpp" ] }, { "page": "lss_cpp_optimized", "title": "A wrapper for the optimized C++ LSS implementation", "topics": [ "lss_cpp_optimized" ] }, { "page": "lss_design", "title": "LSS Analysis with fmridesign Objects", "topics": [ "lss_design" ] }, { "page": "lss_fit_wrappers", "title": "Convenience wrappers for modern 'lss()' usage", "topics": [ "lss_fit_wrappers" ] }, { "page": "lss_naive", "title": "Naive Least Squares Separate (LSS) Analysis", "topics": [ "lss_naive" ] }, { "page": "lss_naive_fit", "title": "Naive LSS with modern signature", "topics": [ "lss_naive_fit" ] }, { "page": "lss_optimized", "title": "Optimized LSS Analysis (Pure R)", "topics": [ "lss_optimized" ] }, { "page": "lss_optimized_fit", "title": "Optimized LSS with modern signature", "topics": [ "lss_optimized_fit" ] }, { "page": "lss_sbhm", "title": "End-to-End LSS with Shared-Basis HRF Matching (SBHM)", "topics": [ "lss_sbhm" ] }, { "page": "lss_sbhm_design", "title": "SBHM Pipeline with fmridesign Models", "topics": [ "lss_sbhm_design" ] }, { "page": "lss_with_hrf", "title": "Perform LSS using Voxel-wise HRFs", "topics": [ "lss_with_hrf" ] }, { "page": "LSSBeta", "title": "LSSBeta object", "topics": [ "LSSBeta" ] }, { "page": "mixed_precompute", "title": "Precompute Workspace for Optimized Mixed Model", "topics": [ "mixed_precompute" ] }, { "page": "mixed_solve", "title": "Mixed Model Solver", "topics": [ "mixed_solve", "mixed_solve_cpp" ] }, { "page": "mixed_solve_optimized", "title": "Optimized Mixed Model Solver", "topics": [ "mixed_solve_optimized" ] }, { "page": "oasis_options", "title": "Construct OASIS options", "topics": [ "oasis_options" ] }, { "page": "plot_hrf_comparison", "title": "Plot HRF Recovery Comparison", "topics": [ "plot_hrf_comparison" ] }, { "page": "prewhiten_options", "title": "Construct prewhitening options", "topics": [ "prewhiten_options" ] }, { "page": "project_confounds", "title": "Project Out Confound Variables", "topics": [ "project_confounds" ] }, { "page": "project_confounds_cpp", "title": "Project Out Confounds Using C++", "topics": [ "project_confounds_cpp" ] }, { "page": "sbhm_build", "title": "Build a Shared-Basis HRF Library (SBHM)", "topics": [ "sbhm_build" ] }, { "page": "sbhm_hrf", "title": "Wrap a Learned Basis as an HRF (SBHM HRF)", "topics": [ "sbhm_hrf" ] }, { "page": "sbhm_match", "title": "Match Voxels to Library HRFs in Shared Basis (SBHM)", "topics": [ "sbhm_match" ] }, { "page": "sbhm_prepass", "title": "SBHM Prepass: Aggregate Fit in Shared Basis", "topics": [ "sbhm_prepass" ] }, { "page": "sbhm_project", "title": "Project Trial-wise SBHM Coefficients to Scalar Amplitudes", "topics": [ "sbhm_project" ] }, { "page": "stglmnet_options", "title": "Construct stglmnet backend options", "topics": [ "stglmnet_options" ] }, { "page": "VoxelHRF", "title": "VoxelHRF object", "topics": [ "VoxelHRF" ] } ], "_readme": "https://github.com/bbuchsbaum/fmrilss/raw/HEAD/README.md", "_rundeps": [ "assertthat", "BH", "bigmemory", "bigmemory.sri", "cachem", "cli", "codetools", "cpp11", "farver", "fastmap", "fmriAR", "fmrihrf", "foreach", "ggplot2", "glmnet", "glue", "gtable", "isoband", "iterators", "jsonlite", "labeling", "lattice", "lifecycle", "magrittr", "MASS", "Matrix", "memoise", "numDeriv", "pracma", "purrr", "R6", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "rlang", "roptim", "S7", "scales", "shape", "survival", "uuid", "vctrs", "viridisLite", "withr" ], "_sysdeps": [ { "shlib": "liblapack", "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": "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": "fmrilss.Rmd", "filename": "fmrilss.html", "title": "Getting started with fmrilss", "engine": "knitr::rmarkdown", "headings": [ "Why fmrilss?", "Quick example", "Create a rapid event design", "Add baseline and nuisance regressors", "Simulate data with known ground truth", "Run LSS", "LSS vs standard GLM", "Prewhitening", "Computational backends", "OASIS: single-pass LSS with extras", "Nuisance pre-projection", "Next steps", "References" ], "created": "2026-02-06 04:25:27", "modified": "2026-04-11 18:51:05", "commits": 7 }, { "source": "oasis_theory.Rmd", "filename": "oasis_theory.html", "title": "OASIS Theory: Algebra and Implementation Details", "engine": "knitr::rmarkdown", "headings": [ "Motivation", "Prerequisites", "Computational Intuition", "Visual Comparison of Computational Scaling", "Classical LSS Recap", "Single-Basis OASIS Algebra", "Fractional Ridge", "Standard Errors", "Multi-Basis Extension", "[\\begin", "HRF-Aware Design Construction", "AR(1) Whitening", "Diagnostics Output", "Algorithm Summary", "Complexity and Memory", "Next Steps", "References" ], "created": "2025-09-15 21:36:52", "modified": "2026-04-11 18:51:05", "commits": 10 }, { "source": "sbhm.Rmd", "filename": "sbhm.html", "title": "Shared-Basis HRF Matching (SBHM): Efficient Voxel-Specific HRF Estimation", "engine": "knitr::rmarkdown", "headings": [ "The Problem", "Step 1: Build the Shared Basis", "Visualizing the Basis", "Choosing the Rank", "Library Coverage", "Step 2: Generate Synthetic Data", "Step 3: Run the SBHM Pipeline", "Step 4: Evaluate Recovery", "Matching Accuracy", "Matching Confidence", "Amplitude Recovery", "Recovered HRF Shapes", "Library Manifold", "Soft Assignment for Ambiguous Voxels", "Shape Estimation Strategies", "Low-Confidence Gating", "Amplitude Policy", "Returning Coefficients for Custom Analysis", "Parameter Quick Reference", "Performance Considerations", "Prewhitening", "References", "Summary" ], "created": "2025-10-31 16:54:26", "modified": "2026-04-11 18:51:05", "commits": 10 }, { "source": "oasis_method.Rmd", "filename": "oasis_method.html", "title": "The OASIS Method: Optimized Analytic Single-pass Inverse Solution", "engine": "knitr::rmarkdown", "headings": [ "What OASIS Adds Over Plain LSS", "Synthetic Data", "Basic OASIS Call", "Equivalence to LSS", "Ridge Regularization", "Absolute Ridge", "Fractional Ridge", "Multi-Basis HRFs", "FIR Basis", "HRF Grid Search", "Multiple Conditions", "Standard Errors", "Prewhitening", "When to Use OASIS", "Next Steps" ], "created": "2025-08-23 16:37:37", "modified": "2026-04-11 18:51:05", "commits": 21 }, { "source": "lss_with_fmridesign.Rmd", "filename": "lss_with_fmridesign.html", "title": "Using fmridesign with fmrilss", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "When to Use lss_design()", "When to Use Traditional lss()", "Simulated Data Setup", "Quick Start", "Multi-Run Experiments", "Onset Convention: Run-Relative", "Why Run-Relative Onsets?", "Adding Baseline Correction", "Adding Motion Parameters", "Multi-Basis HRFs", "Ridge Regularization", "Comparison with design_spec", "Using design_spec (old approach)", "Using lss_design() (new approach)", "Validation: Estimated vs True Betas", "Advanced: Parametric Modulators", "Troubleshooting", "Error: \"Y has X rows but sampling_frame expects Y scans\"", "Error: \"event_model and baseline_model have different sampling_frames\"", "Warning: \"High collinearity detected\"", "Summary", "Further Reading" ], "created": "2025-11-06 17:10:06", "modified": "2026-04-11 18:51:05", "commits": 7 }, { "source": "voxel-wise-hrf.Rmd", "filename": "voxel-wise-hrf.html", "title": "Voxel-wise HRF Modeling with fmrilss", "engine": "knitr::rmarkdown", "headings": [ "Why HRF Variability Matters", "Setup", "Simulate Data with Variable HRFs", "Experiment parameters", "Voxel-specific HRFs", "Generate signal and noise", "Visualise the design", "Standard LSS with Canonical HRF", "Estimate Voxel-Specific HRFs", "Multi-basis GLM", "Apply Voxel-Specific HRFs in LSS", "OASIS Alternative", "Compare Methods", "Compute accuracy metrics", "Scatter plots", "Next Steps" ], "created": "2025-06-16 18:08:55", "modified": "2026-04-11 18:51:05", "commits": 18 } ], "_score": 5.658393026279123, "_indexed": true, "_nocasepkg": "fmrilss", "_universes": [ "bbuchsbaum" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-07-24T06:20:11.000Z", "distro": "resolute", "arch": "aarch64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/3fbba61263dabac18030e43bac66d89bfb1167393ee52829ff864dbc6e82b481", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-07-24T06:20:25.000Z", "distro": "resolute", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/60ab1879f0963f9bc4613ecd2b5434f50baa546246a7bb13b8056e731e9ff012", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-07-24T06:19:30.000Z", "distro": "resolute", "arch": "aarch64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/71e6c3c0fb2d94f674bb96bd235b1a22477fde65a32f39658ada4e9157128bb6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-07-24T06:20:00.000Z", "distro": "resolute", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/e0097315ac5f3de5e3a1bb8143593a65fed4da7710158d2957e3d11e9734ac99", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0", "date": "2026-07-24T06:51:35.000Z", "arch": "aarch64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/b3c269797194c5f711ee33c1f69110de425ddaed92a572b16e91bdcfa14fe697", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0", "date": "2026-07-24T06:53:31.000Z", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/872162fc321c5796f2238466094fe7d9825e793327378406a578c80068dc61b2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.6.1", "os": "mac", "version": "0.1.0", "date": "2026-07-24T06:53:30.000Z", "arch": "aarch64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/b1ef11d31533f31fe63f45a8ddfbd55e5f98cb1e7f27e6b3a2e3904bb1bc8197", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.6.1", "os": "mac", "version": "0.1.0", "date": "2026-07-24T06:54:35.000Z", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/69365e510aa3dc044350f71ce789a59c83f62f2b3526c0c6b924000f8b24508b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-07-24T06:19:48.000Z", "arch": "emscripten", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/41db3dd4f15b2c95b07ffbc4889820dd05c3fec58dedad5011c8b5d59c2ac05e", "status": "success", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-07-24T06:18:48.000Z", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/abd7612891546bf50f588481e74721dc76bf7ccce6716261c18952538bbda742", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.5.3", "os": "win", "version": "0.1.0", "date": "2026-07-24T06:18:38.000Z", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/df9c1fb6d349950282d81689740b502b5a22fadd7c300ecf7e6a1f6156ea3032", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" }, { "r": "4.6.1", "os": "win", "version": "0.1.0", "date": "2026-07-24T06:19:03.000Z", "arch": "x86_64", "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805", "fileid": "https://r2.ropensci.org/520591f159276509e4559a837ce9ffa4c92ebf0a4a3fd5dfe399eb306b43a2b7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/30071529709" } ] }