{
  "_id": "6ac10b7c552a13804ac7ed0e",
  "Package": "PhysioAnalysis",
  "Title": "Analysis and Visualization for PhysioExperiment Objects",
  "Version": "0.5.30",
  "Authors@R": "person(given = \"Yusuke\",\nfamily = \"Matsui\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mail.to.matsui@gmail.com\")",
  "Description": "Provides analysis and visualization functions for\nphysiological signal data stored in 'PhysioExperiment' objects,\nwhich extend the Bioconductor 'SummarizedExperiment' container.\nMethods include the fast Fourier transform ('FFT'),\ntime-frequency decomposition, epoching, functional connectivity\n(coherence and phase-based measures), graph and network\nmetrics, statistical parametric mapping, and cluster-based\npermutation testing. Visualization utilities cover scalp\ntopographic maps ('topoplots'), multichannel signal displays,\nand network graphs. Compiled routines are provided through\n'Rcpp' and 'RcppArmadillo'.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "Collate": "'PhysioAnalysis-package.R' 'RcppExports.R'\n'utils-provenance.R' 'ops-fft.R' 'ops-timefreq.R'\n'ops-specparam.R' 'ops-epoch.R' 'ops-epoch-sliding.R'\n'ops-connectivity.R' 'ops-network.R' 'stats-spm.R'\n'stats-spm-regress.R' 'stats-spm-manova.R'\n'stats-spm-nonparam.R' 'stats-tests.R'\n'stats-effectsize-rank.R' 'stats-network.R' 'vis-plot.R'\n'vis-multichannel.R' 'vis-topomap.R' 'vis-network.R'\n'stats-functional-regression.R' 'stats-functional-mixed.R'\n'reexports-stats.R' 'zzz.R'",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "URL": "https://github.com/x-biosignal/PhysioAnalysis,\nhttps://x-biosignal.r-universe.dev/PhysioAnalysis",
  "BugReports": "https://github.com/x-biosignal/PhysioAnalysis/issues",
  "Config/pak/sysreqs": "zlib1g-dev",
  "Repository": "https://x-biosignal.r-universe.dev",
  "Date/Publication": "2026-10-03 13:11:42 UTC",
  "RemoteUrl": "https://github.com/x-biosignal/PhysioAnalysis",
  "RemoteRef": "HEAD",
  "RemoteSha": "f29df30bcb0879694ff32e1bef9fab3a8ee21842",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-03 13:42:03 UTC",
    "User": "root"
  },
  "Author": "Yusuke Matsui [aut, cre]",
  "Maintainer": "Yusuke Matsui <mail.to.matsui@gmail.com>",
  "_user": "x-biosignal",
  "_type": "src",
  "_file": "PhysioAnalysis_0.5.30.tar.gz",
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  "_filesize": 1063941,
  "_sha256": "9fbe1a26c25f93d98adf6996c4283e65720af29d48ec987f6be34becaba95153",
  "_expires": "2027-01-11T14:04:42.000Z",
  "_created": "2026-10-03T13:42:03.000Z",
  "_published": "2026-10-03T14:04:44.166Z",
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  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/x-biosignal/actions/runs/37126866640",
  "_status": "success",
  "_upstream": "https://github.com/x-biosignal/PhysioAnalysis",
  "_commit": {
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    "author": "Yusuke Matsui <mail.to.matsui@gmail.com>",
    "committer": "Yusuke Matsui <mail.to.matsui@gmail.com>",
    "message": "Release snapshot\n",
    "time": 1791033102
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    "name": "Yusuke Matsui",
    "email": "mail.to.matsui@gmail.com",
    "login": "ymatts",
    "description": "Data scientist",
    "uuid": 5744286
  },
  "_distro": "resolute",
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  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2",
      "role": "Depends"
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    {
      "package": "PhysioExperiment",
      "version": ">= 2.0.0",
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    {
      "package": "Rcpp",
      "role": "LinkingTo"
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    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
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    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "SummarizedExperiment",
      "role": "Imports"
    },
    {
      "package": "S4Vectors",
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    },
    {
      "package": "signal",
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    {
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    {
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  "_owner": "x-biosignal",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [
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      "week": "2026-40",
      "n": 1
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  "_tags": [],
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  "_contributors": [
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    "name": "x-biosignal",
    "followers": 1,
    "description": "Open-source R packages for biosignal analysis, biomechanics, clinical research, and rehabilitation."
  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PhysioAnalysis"
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  "_devurl": "https://github.com/x-biosignal/physioanalysis",
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  "_topics": [
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    "cpp",
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
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    "extra/PhysioAnalysis.html",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_cranurl": false,
  "_exports": [
    "adfTest",
    "adjacencyMatrix",
    "anovaEpochs",
    "arSpectrum",
    "arYuleWalker",
    "autocorrelation",
    "averageEpochs",
    "bandPower",
    "betweennessCentrality",
    "binarizeNetwork",
    "blandAltman",
    "bootstrapCI",
    "circularLinearCorrelation",
    "circularSummary",
    "cliffsDelta",
    "clusteringCoefficient",
    "clusterPermutationTest",
    "cohensD",
    "coherence",
    "connectivityMatrix",
    "correctPValues",
    "correlationMatrix",
    "correlationTest",
    "cronbachAlpha",
    "crossSpectrum",
    "dunnTest",
    "effectSize",
    "eigenvectorCentrality",
    "epochData",
    "epochSliding",
    "epochTimes",
    "etaSquared",
    "fftSignals",
    "findSignificantWindows",
    "fPCA",
    "friedmanTest",
    "functionalMixedModel",
    "functionalRegression",
    "globalEfficiency",
    "grandAverage",
    "graphLaplacian",
    "hilbertTransform",
    "icc",
    "instantaneousAmplitude",
    "instantaneousPhase",
    "interquartileRange",
    "intraclassCorrelation",
    "jarqueBeraTest",
    "kendallTau",
    "kpssTest",
    "kruskalTest",
    "ksNormalityTest",
    "leveneTest",
    "linearRegression",
    "ljungBoxTest",
    "localEfficiency",
    "mdc",
    "medianAbsDev",
    "modularity",
    "multipleRegression",
    "nemenyiTest",
    "networkBasedStatistic",
    "nodeDegree",
    "oneWayAnova",
    "pairedTTest",
    "partialAutocorrelation",
    "partialCorrelation",
    "pathLength",
    "pli",
    "plotAdjacencyMatrix",
    "plotDynamicConnectivity",
    "plotERP",
    "plotMultiChannel",
    "plotNBSnetwork",
    "plotNetwork",
    "plotNetworkMetrics",
    "plotNetworkStability",
    "plotPSD",
    "plotSignal",
    "plotSpecparam",
    "plotSpectrogram",
    "plotSPM",
    "plotTopomap",
    "plotTopomapSeries",
    "plv",
    "rankBiserial",
    "rayleighTest",
    "reconstructFPCA",
    "registerCurves",
    "scalarOnFunctionRegression",
    "sem",
    "signalMoments",
    "slidingWindowConnectivity",
    "smallWorldness",
    "specparam",
    "specparamBiomarker",
    "spectralClustering",
    "spectralDecomposition",
    "spectrogram",
    "spmAnova",
    "spmMANOVA",
    "spmPairedTTest",
    "spmRegression",
    "spmSnPM",
    "spmTTest",
    "temporalStability",
    "tfce",
    "thresholdNetwork",
    "trimmedMean",
    "tTestEpochs",
    "tukeyHSD",
    "twoSampleTTest",
    "watsonWilliamsTest",
    "waveformCMC",
    "waveformICC",
    "waveformReliability",
    "waveletTransform",
    "wPLI"
  ],
  "_help": [
    {
      "page": "adfTest",
      "title": "Augmented Dickey-Fuller (ADF) unit-root test statistic",
      "topics": [
        "adfTest"
      ]
    },
    {
      "page": "adjacencyMatrix",
      "title": "Create adjacency matrix from connectivity",
      "topics": [
        "adjacencyMatrix"
      ]
    },
    {
      "page": "anovaEpochs",
      "title": "ANOVA across conditions",
      "topics": [
        "anovaEpochs"
      ]
    },
    {
      "page": "arSpectrum",
      "title": "Autoregressive (parametric) spectral density",
      "topics": [
        "arSpectrum"
      ]
    },
    {
      "page": "arYuleWalker",
      "title": "Autoregressive model fit by Yule-Walker (AR(p))",
      "topics": [
        "arYuleWalker"
      ]
    },
    {
      "page": "autocorrelation",
      "title": "Autocorrelation function (ACF)",
      "topics": [
        "autocorrelation"
      ]
    },
    {
      "page": "averageEpochs",
      "title": "Average epochs",
      "topics": [
        "averageEpochs"
      ]
    },
    {
      "page": "bandPower",
      "title": "Compute band power",
      "topics": [
        "bandPower"
      ]
    },
    {
      "page": "betweennessCentrality",
      "title": "Compute betweenness centrality",
      "topics": [
        "betweennessCentrality"
      ]
    },
    {
      "page": "binarizeNetwork",
      "title": "Binarize network",
      "topics": [
        "binarizeNetwork"
      ]
    },
    {
      "page": "bootstrapCI",
      "title": "Bootstrap confidence interval for ERP",
      "topics": [
        "bootstrapCI"
      ]
    },
    {
      "page": "cliffsDelta",
      "title": "Cliff's delta for two independent samples",
      "topics": [
        "cliffsDelta"
      ]
    },
    {
      "page": "clusteringCoefficient",
      "title": "Compute clustering coefficient",
      "topics": [
        "clusteringCoefficient"
      ]
    },
    {
      "page": "clusterPermutationTest",
      "title": "Cluster-based permutation test",
      "topics": [
        "clusterPermutationTest"
      ]
    },
    {
      "page": "coherence",
      "title": "Connectivity Analysis for PhysioExperiment",
      "topics": [
        "coherence"
      ]
    },
    {
      "page": "connectivityMatrix",
      "title": "Compute connectivity matrix for a frequency band",
      "topics": [
        "connectivityMatrix"
      ]
    },
    {
      "page": "correctPValues",
      "title": "Multiple comparison correction",
      "topics": [
        "correctPValues"
      ]
    },
    {
      "page": "correlationMatrix",
      "title": "Compute correlation matrix between channels",
      "topics": [
        "correlationMatrix"
      ]
    },
    {
      "page": "correlationTest",
      "title": "Correlation Test",
      "topics": [
        "correlationTest"
      ]
    },
    {
      "page": "cronbachAlpha",
      "title": "Cronbach's alpha (internal-consistency reliability)",
      "topics": [
        "cronbachAlpha"
      ]
    },
    {
      "page": "crossSpectrum",
      "title": "Compute cross-spectral density",
      "topics": [
        "crossSpectrum"
      ]
    },
    {
      "page": "dunnTest",
      "title": "Dunn's test (post-hoc pairwise comparisons after Kruskal-Wallis)",
      "topics": [
        "dunnTest"
      ]
    },
    {
      "page": "effectSize",
      "title": "Compute effect size (Cohen's d / Hedges g)",
      "topics": [
        "effectSize"
      ]
    },
    {
      "page": "eigenvectorCentrality",
      "title": "Compute eigenvector centrality",
      "topics": [
        "eigenvectorCentrality"
      ]
    },
    {
      "page": "epochData",
      "title": "Epoching operations for PhysioExperiment",
      "topics": [
        "epochData"
      ]
    },
    {
      "page": "epochSliding",
      "title": "Create epochs using sliding window",
      "topics": [
        "epochSliding"
      ]
    },
    {
      "page": "epochTimes",
      "title": "Get epoch time vector",
      "topics": [
        "epochTimes"
      ]
    },
    {
      "page": "fftSignals",
      "title": "Fast Fourier transform helper",
      "topics": [
        "fftSignals"
      ]
    },
    {
      "page": "findSignificantWindows",
      "title": "Find significant time windows",
      "topics": [
        "findSignificantWindows"
      ]
    },
    {
      "page": "friedmanTest",
      "title": "Friedman rank-sum test (non-parametric repeated-measures omnibus)",
      "topics": [
        "friedmanTest"
      ]
    },
    {
      "page": "functionalMixedModel",
      "title": "Functional random-intercept (multilevel) model for waveforms",
      "topics": [
        "functionalMixedModel"
      ]
    },
    {
      "page": "functionalRegression",
      "title": "Function-on-scalar regression (coefficient curves)",
      "topics": [
        "functionalRegression"
      ]
    },
    {
      "page": "globalEfficiency",
      "title": "Compute global efficiency",
      "topics": [
        "globalEfficiency"
      ]
    },
    {
      "page": "grandAverage",
      "title": "Grand average across subjects/samples",
      "topics": [
        "grandAverage"
      ]
    },
    {
      "page": "graphLaplacian",
      "title": "Compute graph Laplacian",
      "topics": [
        "graphLaplacian"
      ]
    },
    {
      "page": "hilbertTransform",
      "title": "Hilbert transform for instantaneous amplitude/phase",
      "topics": [
        "hilbertTransform"
      ]
    },
    {
      "page": "instantaneousAmplitude",
      "title": "Extract instantaneous amplitude (envelope)",
      "topics": [
        "instantaneousAmplitude"
      ]
    },
    {
      "page": "instantaneousPhase",
      "title": "Extract instantaneous phase",
      "topics": [
        "instantaneousPhase"
      ]
    },
    {
      "page": "interquartileRange",
      "title": "Interquartile Range (robust spread)",
      "topics": [
        "interquartileRange"
      ]
    },
    {
      "page": "intraclassCorrelation",
      "title": "Intraclass correlation coefficients (ICC)",
      "topics": [
        "intraclassCorrelation"
      ]
    },
    {
      "page": "jarqueBeraTest",
      "title": "Jarque-Bera test for normality",
      "topics": [
        "jarqueBeraTest"
      ]
    },
    {
      "page": "kendallTau",
      "title": "Kendall's tau-b rank correlation",
      "topics": [
        "kendallTau"
      ]
    },
    {
      "page": "kpssTest",
      "title": "KPSS test for stationarity",
      "topics": [
        "kpssTest"
      ]
    },
    {
      "page": "kruskalTest",
      "title": "Kruskal-Wallis rank-sum test (non-parametric between-groups omnibus)",
      "topics": [
        "kruskalTest"
      ]
    },
    {
      "page": "ksNormalityTest",
      "title": "Kolmogorov-Smirnov Test for Normality",
      "topics": [
        "ksNormalityTest"
      ]
    },
    {
      "page": "leveneTest",
      "title": "Levene's test for homogeneity of variance",
      "topics": [
        "leveneTest"
      ]
    },
    {
      "page": "linearRegression",
      "title": "Simple linear regression (ordinary least squares)",
      "topics": [
        "linearRegression"
      ]
    },
    {
      "page": "ljungBoxTest",
      "title": "Ljung-Box test for autocorrelation (white-noise / portmanteau test)",
      "topics": [
        "ljungBoxTest"
      ]
    },
    {
      "page": "localEfficiency",
      "title": "Compute local efficiency",
      "topics": [
        "localEfficiency"
      ]
    },
    {
      "page": "medianAbsDev",
      "title": "Median Absolute Deviation (robust dispersion)",
      "topics": [
        "medianAbsDev"
      ]
    },
    {
      "page": "modularity",
      "title": "Compute network modularity",
      "topics": [
        "modularity"
      ]
    },
    {
      "page": "multipleRegression",
      "title": "Multiple linear regression (ordinary least squares)",
      "topics": [
        "multipleRegression"
      ]
    },
    {
      "page": "nemenyiTest",
      "title": "Nemenyi post-hoc test (all pairwise comparisons after a Friedman test)",
      "topics": [
        "nemenyiTest"
      ]
    },
    {
      "page": "networkBasedStatistic",
      "title": "Network-Based Statistic (NBS)",
      "topics": [
        "networkBasedStatistic"
      ]
    },
    {
      "page": "nodeDegree",
      "title": "Compute node degree",
      "topics": [
        "nodeDegree"
      ]
    },
    {
      "page": "oneWayAnova",
      "title": "One-way ANOVA (omnibus F-test) across groups",
      "topics": [
        "oneWayAnova"
      ]
    },
    {
      "page": "pairedTTest",
      "title": "Paired-Samples t-Test",
      "topics": [
        "pairedTTest"
      ]
    },
    {
      "page": "partialAutocorrelation",
      "title": "Partial autocorrelation function (PACF)",
      "topics": [
        "partialAutocorrelation"
      ]
    },
    {
      "page": "partialCorrelation",
      "title": "Partial correlation controlling for covariates",
      "topics": [
        "partialCorrelation"
      ]
    },
    {
      "page": "pathLength",
      "title": "Compute shortest path length",
      "topics": [
        "pathLength"
      ]
    },
    {
      "page": "pli",
      "title": "Compute Phase Lag Index (PLI)",
      "topics": [
        "pli"
      ]
    },
    {
      "page": "plotAdjacencyMatrix",
      "title": "Plot adjacency matrix heatmap",
      "topics": [
        "plotAdjacencyMatrix"
      ]
    },
    {
      "page": "plotDynamicConnectivity",
      "title": "Plot dynamic connectivity",
      "topics": [
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