{
  "_id": "6a21220ecd65a98ecbd1f728",
  "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": "2026-06-04 06:50:18 UTC",
    "User": "root"
  },
  "Author": "Brad Buchsbaum [aut, cre]",
  "Maintainer": "Brad Buchsbaum <brad.buchsbaum@gmail.com>",
  "MD5sum": "d29cb9495dfbf40b946cf330a7dd703c",
  "_user": "bbuchsbaum",
  "_type": "src",
  "_file": "fmrilss_0.1.0.tar.gz",
  "_fileid": "7d804a45e7635043a18a423395f2c2664d3126e63ef11bdf3900369528269734",
  "_filesize": 2591333,
  "_sha256": "7d804a45e7635043a18a423395f2c2664d3126e63ef11bdf3900369528269734",
  "_created": "2026-06-04T06:50:18.000Z",
  "_published": "2026-06-04T06:58:22.801Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79465407344,
      "time": 283,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7404967101"
    },
    {
      "job": 79465407248,
      "time": 271,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7404962204"
    },
    {
      "job": 79465407272,
      "time": 251,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404958317"
    },
    {
      "job": 79465407216,
      "time": 270,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404962464"
    },
    {
      "job": 79465407185,
      "time": 138,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7404928820"
    },
    {
      "job": 79465407144,
      "time": 363,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7404993305"
    },
    {
      "job": 79465407198,
      "time": 183,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404945853"
    },
    {
      "job": 79465407172,
      "time": 327,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404977306"
    },
    {
      "job": 79464652701,
      "time": 346,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404892092"
    },
    {
      "job": 79465407304,
      "time": 176,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404938443"
    },
    {
      "job": 79465407174,
      "time": 311,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7404972484"
    },
    {
      "job": 79465407209,
      "time": 306,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7404971098"
    },
    {
      "job": 79465407204,
      "time": 319,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7404974530"
    }
  ],
  "_buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/bbuchsbaum/fmrilss",
  "_commit": {
    "id": "e8d305562b96353856e2bea2ff1e72fa66d16805",
    "author": "bbuchsbaum <brad.buchsbaum@gmail.com>",
    "committer": "bbuchsbaum <brad.buchsbaum@gmail.com>",
    "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
  },
  "_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": "2025-24",
      "n": 15
    },
    {
      "week": "2025-25",
      "n": 3
    },
    {
      "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"
  },
  "_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": 29,
  "_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/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": "0.3.26+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"
    }
  ],
  "_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": 5.831613855309099,
  "_indexed": true,
  "_nocasepkg": "fmrilss",
  "_universes": [
    "bbuchsbaum"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-04T06:54:29.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "5fd7233d5b6a762b31741f85fd023e59d0ab48982d4c30a30f2fc1fa05135d92",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:56.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "23b0058210a8161ffcef264a905f40180f24a203828702222f23b2b8e2dd4814",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:51.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "b8282c87d2f84ae011dfbca27abeef756d7b4242b01a1e1ea937ef702a9bfdeb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:58.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "0abdff0e8659718e454206063d8f44a7466f909adf22c6cf00128971ef15c6da",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-06-04T06:52:47.000Z",
      "arch": "aarch64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "40a9e3da2cef003b4c99ebd7f120d30950162f7d725dc0a3042aea896cbedbf4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-06-04T06:54:57.000Z",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "92f63ecb869b6b43725969b26771fd3f91ab5c57a92859dff4c06e1591517140",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:33.000Z",
      "arch": "aarch64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "50738b3ffbcb792fedfcfd76923958d6662e38dbc35ab04d3651c41ed3a0f2ee",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.0",
      "date": "2026-06-04T06:54:17.000Z",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "ccecfaa6668e5ad172b89c3a0c49747fe8c9f46832b7a8347bba988c0ca868ba",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:53.000Z",
      "arch": "emscripten",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "fb67620bb0d28f6fdfd07fbc15a25991dd681434a45a0701f86200e7581e0a8a",
      "status": "success",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:21.000Z",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "3ac786eb2a7b7ffd567a352a891c4b64b68864654c00cafaf51be0cbe3a1d316",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-06-04T06:52:58.000Z",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "c8125e73220d6731b3eeab9e57e18f00346b02c8f65e38aed64188c822ae63cc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-06-04T06:53:18.000Z",
      "arch": "x86_64",
      "commit": "e8d305562b96353856e2bea2ff1e72fa66d16805",
      "fileid": "23355a479a91a70fcb88e1564c071937ec0bbb77ec945745a417134c09a4d928",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bbuchsbaum/actions/runs/26935637401"
    }
  ]
}