{
  "_id": "6ac95d06de46216d5edda94a",
  "Package": "gp3sequences",
  "Title": "Transparent Analysis of Ordered Categorical Sequences",
  "Version": "0.3.1",
  "Authors@R": "person(\ngiven = \"Stefanos\",\nfamily = \"Balaskas\",\nemail = \"s.balaskas@ac.upatras.gr\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2444-9796\")\n)",
  "Description": "Provides transparent, reproducible, and auditable tools\nfor validating, preparing, encoding, summarising, comparing,\nmodelling, and diagnosing ordered categorical sequence data.\nSupports explicit preprocessing policies, contiguous motifs and\nbounded subsequences, consensus and group comparisons, edit and\ntransition distances, clustering and stability diagnostics,\ntransition networks, higher-order models, categorical, mixture,\nmultichannel, and covariate hidden Markov models, longitudinal\npanel workflows, time-varying models, design-aware inference,\nanalysis contracts and provenance audits, and guarded adapters\nto specialist sequence-analysis packages.",
  "License": "MIT + file LICENSE",
  "URL": "https://stefanosbalaskas.github.io/gp3sequences/,\nhttps://github.com/stefanosbalaskas/gp3sequences",
  "BugReports": "https://github.com/stefanosbalaskas/gp3sequences/issues",
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  "Config/Needs/website": "pkgdown",
  "Encoding": "UTF-8",
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  "VignetteBuilder": "knitr",
  "Repository": "https://stefanosbalaskas.r-universe.dev",
  "Date/Publication": "2026-10-09 20:32:18 UTC",
  "RemoteUrl": "https://github.com/stefanosbalaskas/gp3sequences",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
  },
  "Author": "Stefanos Balaskas [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-2444-9796>)",
  "Maintainer": "Stefanos Balaskas <s.balaskas@ac.upatras.gr>",
  "_user": "stefanosbalaskas",
  "_type": "src",
  "_file": "gp3sequences_0.3.1.tar.gz",
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  "_created": "2026-10-09T21:25:08.000Z",
  "_published": "2026-10-09T21:30:46.225Z",
  "_buildurl": "https://github.com/r-universe/stefanosbalaskas/actions/runs/37993028777",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
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  "_upstream": "https://github.com/stefanosbalaskas/gp3sequences",
  "_commit": {
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    "author": "Stefanos Balaskas <stefbalaskas@gmail.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "docs: publish plotted estimation-design figures",
    "time": 1791577938
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  "_maintainer": {
    "name": "Stefanos Balaskas",
    "email": "s.balaskas@ac.upatras.gr",
    "login": "stefanosbalaskas",
    "linkedin": "in/stefanos-balaskas",
    "orcid": "0000-0003-2444-9796",
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    "uuid": 56984563
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  "_registered": true,
  "_dependencies": [
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "arules",
      "role": "Suggests"
    },
    {
      "package": "arulesSequences",
      "role": "Suggests"
    },
    {
      "package": "cluster",
      "role": "Suggests"
    },
    {
      "package": "GrpString",
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    {
      "package": "igraph",
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    {
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    }
  ],
  "_owner": "stefanosbalaskas",
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  "_updates": [
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      "date": "2026-07-21"
    },
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      "name": "v0.2.0",
      "date": "2026-07-23"
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      "name": "v0.3.0",
      "date": "2026-08-10"
    },
    {
      "name": "v0.3.1",
      "date": "2026-09-19"
    }
  ],
  "_topics": [
    "behavioral-analysis",
    "categorical-sequences",
    "eye-tracking",
    "eyetracking",
    "hidden-markov-model",
    "hmm",
    "levenshtein-distance",
    "longitudinal-data",
    "motif",
    "optimal-matching",
    "r-programming",
    "reproducible-research",
    "research",
    "research-software",
    "scanpaths",
    "sequence-analysis",
    "sequence-modeling",
    "state-segmentation",
    "transition-matrix"
  ],
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    "name": "Stefanos Balaskas",
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  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gp3sequences"
  },
  "_devurl": "https://github.com/stefanosbalaskas/gp3sequences",
  "_pkgdown": "https://stefanosbalaskas.github.io/gp3sequences/",
  "_searchresults": 18,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/gp3sequences.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/stefanosbalaskas/gp3sequences",
  "_realowner": "stefanosbalaskas",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.0",
      "date": "2026-07-30"
    },
    {
      "version": "0.3.0",
      "date": "2026-08-23"
    }
  ],
  "_exports": [
    "as_arules_sequences",
    "as_grpstring_data",
    "as_igraph_transition_network",
    "as_seqhmm_sequences",
    "as_traminer_sequences",
    "audit_sequence_analysis",
    "audit_sequence_data",
    "bootstrap_sequence_clusters",
    "bootstrap_sequence_group_difference",
    "bootstrap_transition_network",
    "cluster_sequences",
    "compare_sequence_analysis_results",
    "compare_sequence_groups",
    "compare_sequence_hmms",
    "compare_sequence_panel_changes",
    "compare_sequence_subsequences",
    "compute_sequence_distance",
    "create_consensus_sequence",
    "create_sequence_cluster_ensemble",
    "create_transition_network",
    "declare_sequence_comparison_design",
    "decode_covariate_sequence_states",
    "decode_multichannel_sequence_states",
    "decode_sequence_states",
    "detect_transition_communities",
    "encode_sequence_data",
    "extract_representative_sequences",
    "extract_sequence_ngrams",
    "extract_sequence_subsequences",
    "filter_sequence_motifs",
    "filter_sequence_subsequences",
    "fit_covariate_sequence_hmm",
    "fit_higher_order_transition_model",
    "fit_multichannel_sequence_hmm",
    "fit_sequence_hmm",
    "fit_sequence_hmm_mixture",
    "fit_time_varying_sequence_model",
    "format_consensus_sequence",
    "format_sequence_motif_positions",
    "format_sequence_motifs",
    "format_sequence_paths",
    "plot_consensus_sequence",
    "plot_multichannel_sequence_hmm",
    "plot_sequence_cluster_silhouette",
    "plot_sequence_distance_heatmap",
    "plot_sequence_entropy",
    "plot_sequence_group_comparison",
    "plot_sequence_group_inference",
    "plot_sequence_index",
    "plot_sequence_motif_positions",
    "plot_sequence_motifs",
    "plot_sequence_panel_changes",
    "plot_sequence_state_distribution",
    "plot_sequence_subsequences",
    "plot_time_varying_sequence_model",
    "plot_transition_network",
    "predict_covariate_transition_probabilities",
    "predict_next_state",
    "predict_time_varying_sequence_model",
    "prepare_gp3tools_sequences",
    "prepare_sequence_data",
    "prepare_sequence_panel",
    "sequence_capabilities",
    "summarise_consensus_agreement",
    "summarise_covariate_sequence_hmm",
    "summarise_multichannel_sequence_hmm",
    "summarise_sequence_cluster_stability",
    "summarise_sequence_distance",
    "summarise_sequence_group_inference",
    "summarise_sequence_hmm",
    "summarise_sequence_motif_positions",
    "summarise_sequence_motifs",
    "summarise_sequence_panel",
    "summarise_sequence_states",
    "summarise_sequence_subsequences",
    "summarise_sequence_transitions",
    "summarise_time_varying_sequence_model",
    "summarise_transition_centrality",
    "test_sequence_group_difference",
    "validate_sequence_clusters",
    "validate_sequence_data"
  ],
  "_help": [
    {
      "page": "as_arules_sequences",
      "title": "Convert sequence data to cSPADE transaction input",
      "topics": [
        "as_arules_sequences"
      ]
    },
    {
      "page": "as_grpstring_data",
      "title": "Create GrpString-compatible event and string inputs",
      "topics": [
        "as_grpstring_data"
      ]
    },
    {
      "page": "as_igraph_transition_network",
      "title": "Convert a transition network to an igraph object",
      "topics": [
        "as_igraph_transition_network"
      ]
    },
    {
      "page": "as_seqhmm_sequences",
      "title": "Convert sequence data to seqHMM observations",
      "topics": [
        "as_seqhmm_sequences"
      ]
    },
    {
      "page": "as_traminer_sequences",
      "title": "Convert sequence data to a TraMineR state-sequence object",
      "topics": [
        "as_traminer_sequences"
      ]
    },
    {
      "page": "audit_sequence_analysis",
      "title": "Audit a gp3sequences analysis object",
      "topics": [
        "audit_sequence_analysis"
      ]
    },
    {
      "page": "audit_sequence_data",
      "title": "Audit Long-Format Sequence Data",
      "topics": [
        "audit_sequence_data"
      ]
    },
    {
      "page": "bootstrap_sequence_clusters",
      "title": "Bootstrap sequence-cluster stability",
      "topics": [
        "bootstrap_sequence_clusters"
      ]
    },
    {
      "page": "bootstrap_sequence_group_difference",
      "title": "Bootstrap a sequence group difference",
      "topics": [
        "bootstrap_sequence_group_difference"
      ]
    },
    {
      "page": "bootstrap_transition_network",
      "title": "Bootstrap transition-network edge weights",
      "topics": [
        "bootstrap_transition_network"
      ]
    },
    {
      "page": "cluster_sequences",
      "title": "Cluster sequences from a distance object",
      "topics": [
        "cluster_sequences"
      ]
    },
    {
      "page": "compare_sequence_analysis_results",
      "title": "Compare two gp3sequences analysis results",
      "topics": [
        "compare_sequence_analysis_results"
      ]
    },
    {
      "page": "compare_sequence_groups",
      "title": "Compare sequence groups descriptively",
      "topics": [
        "compare_sequence_groups"
      ]
    },
    {
      "page": "compare_sequence_hmms",
      "title": "Compare fitted sequence HMMs descriptively",
      "topics": [
        "compare_sequence_hmms"
      ]
    },
    {
      "page": "compare_sequence_panel_changes",
      "title": "Compare within-panel sequence changes",
      "topics": [
        "compare_sequence_panel_changes"
      ]
    },
    {
      "page": "compare_sequence_subsequences",
      "title": "Compare subsequence prevalence between groups",
      "topics": [
        "compare_sequence_subsequences"
      ]
    },
    {
      "page": "compute_sequence_distance",
      "title": "Compute pairwise sequence distances",
      "topics": [
        "compute_sequence_distance"
      ]
    },
    {
      "page": "create_consensus_sequence",
      "title": "Create an aligned-position consensus sequence",
      "topics": [
        "create_consensus_sequence"
      ]
    },
    {
      "page": "create_sequence_cluster_ensemble",
      "title": "Create a sequence-cluster ensemble",
      "topics": [
        "create_sequence_cluster_ensemble"
      ]
    },
    {
      "page": "create_transition_network",
      "title": "Create a transition network from ordered sequences",
      "topics": [
        "create_transition_network"
      ]
    },
    {
      "page": "declare_sequence_comparison_design",
      "title": "Declare a sequence group-comparison design",
      "topics": [
        "declare_sequence_comparison_design"
      ]
    },
    {
      "page": "decode_covariate_sequence_states",
      "title": "Decode states from a covariate-dependent HMM",
      "topics": [
        "decode_covariate_sequence_states"
      ]
    },
    {
      "page": "decode_multichannel_sequence_states",
      "title": "Decode latent states from a multichannel HMM",
      "topics": [
        "decode_multichannel_sequence_states"
      ]
    },
    {
      "page": "decode_sequence_states",
      "title": "Decode hidden states from a fitted HMM",
      "topics": [
        "decode_sequence_states"
      ]
    },
    {
      "page": "detect_transition_communities",
      "title": "Detect descriptive transition communities",
      "topics": [
        "detect_transition_communities"
      ]
    },
    {
      "page": "encode_sequence_data",
      "title": "Encode Ordered Sequence States",
      "topics": [
        "encode_sequence_data"
      ]
    },
    {
      "page": "extract_representative_sequences",
      "title": "Extract representative sequences from clusters",
      "topics": [
        "extract_representative_sequences"
      ]
    },
    {
      "page": "extract_sequence_ngrams",
      "title": "Extract Contiguous Sequence N-Grams",
      "topics": [
        "extract_sequence_ngrams"
      ]
    },
    {
      "page": "extract_sequence_subsequences",
      "title": "Extract bounded non-contiguous sequence subsequences",
      "topics": [
        "extract_sequence_subsequences"
      ]
    },
    {
      "page": "filter_sequence_motifs",
      "title": "Filter Sequence Motif Summaries",
      "topics": [
        "filter_sequence_motifs"
      ]
    },
    {
      "page": "filter_sequence_subsequences",
      "title": "Filter non-contiguous subsequence summaries",
      "topics": [
        "filter_sequence_subsequences"
      ]
    },
    {
      "page": "fit_covariate_sequence_hmm",
      "title": "Fit a covariate-dependent categorical hidden Markov model",
      "topics": [
        "fit_covariate_sequence_hmm"
      ]
    },
    {
      "page": "fit_higher_order_transition_model",
      "title": "Fit a higher-order transition model",
      "topics": [
        "fit_higher_order_transition_model"
      ]
    },
    {
      "page": "fit_multichannel_sequence_hmm",
      "title": "Fit a multichannel categorical hidden Markov model",
      "topics": [
        "fit_multichannel_sequence_hmm"
      ]
    },
    {
      "page": "fit_sequence_hmm",
      "title": "Fit a categorical hidden Markov model",
      "topics": [
        "fit_sequence_hmm"
      ]
    },
    {
      "page": "fit_sequence_hmm_mixture",
      "title": "Fit a mixture of categorical hidden Markov models",
      "topics": [
        "fit_sequence_hmm_mixture"
      ]
    },
    {
      "page": "fit_time_varying_sequence_model",
      "title": "Fit a time-varying sequence condition model",
      "topics": [
        "fit_time_varying_sequence_model"
      ]
    },
    {
      "page": "format_consensus_sequence",
      "title": "Format consensus sequences as paths",
      "topics": [
        "format_consensus_sequence"
      ]
    },
    {
      "page": "format_sequence_motif_positions",
      "title": "Format Sequence Motif Position Summaries",
      "topics": [
        "format_sequence_motif_positions"
      ]
    },
    {
      "page": "format_sequence_motifs",
      "title": "Format Sequence Motif Summaries",
      "topics": [
        "format_sequence_motifs"
      ]
    },
    {
      "page": "format_sequence_paths",
      "title": "Format Ordered Sequence Paths",
      "topics": [
        "format_sequence_paths"
      ]
    },
    {
      "page": "plot_consensus_sequence",
      "title": "Plot a consensus sequence",
      "topics": [
        "plot_consensus_sequence"
      ]
    },
    {
      "page": "plot_multichannel_sequence_hmm",
      "title": "Plot multichannel HMM emission profiles",
      "topics": [
        "plot_multichannel_sequence_hmm"
      ]
    },
    {
      "page": "plot_sequence_cluster_silhouette",
      "title": "Plot sequence-cluster silhouette values",
      "topics": [
        "plot_sequence_cluster_silhouette"
      ]
    },
    {
      "page": "plot_sequence_distance_heatmap",
      "title": "Plot a sequence-distance heatmap",
      "topics": [
        "plot_sequence_distance_heatmap"
      ]
    },
    {
      "page": "plot_sequence_entropy",
      "title": "Plot position-wise state entropy",
      "topics": [
        "plot_sequence_entropy"
      ]
    },
    {
      "page": "plot_sequence_group_comparison",
      "title": "Plot a descriptive sequence-group comparison",
      "topics": [
        "plot_sequence_group_comparison"
      ]
    },
    {
      "page": "plot_sequence_group_inference",
      "title": "Plot sequence group inference",
      "topics": [
        "plot_sequence_group_inference"
      ]
    },
    {
      "page": "plot_sequence_index",
      "title": "Plot a sequence index heatmap",
      "topics": [
        "plot_sequence_index"
      ]
    },
    {
      "page": "plot_sequence_motif_positions",
      "title": "Plot Sequence Motif Positions",
      "topics": [
        "plot_sequence_motif_positions"
      ]
    },
    {
      "page": "plot_sequence_motifs",
      "title": "Plot Sequence Motif Summaries",
      "topics": [
        "plot_sequence_motifs"
      ]
    },
    {
      "page": "plot_sequence_panel_changes",
      "title": "Plot longitudinal sequence changes",
      "topics": [
        "plot_sequence_panel_changes"
      ]
    },
    {
      "page": "plot_sequence_state_distribution",
      "title": "Plot state distributions over aligned positions",
      "topics": [
        "plot_sequence_state_distribution"
      ]
    },
    {
      "page": "plot_sequence_subsequences",
      "title": "Plot non-contiguous subsequence summaries",
      "topics": [
        "plot_sequence_subsequences"
      ]
    },
    {
      "page": "plot_time_varying_sequence_model",
      "title": "Plot predicted time-varying sequence probabilities",
      "topics": [
        "plot_time_varying_sequence_model"
      ]
    },
    {
      "page": "plot_transition_network",
      "title": "Plot a first-order transition network",
      "topics": [
        "plot_transition_network"
      ]
    },
    {
      "page": "predict_covariate_transition_probabilities",
      "title": "Predict covariate-dependent transition probabilities",
      "topics": [
        "predict_covariate_transition_probabilities"
      ]
    },
    {
      "page": "predict_next_state",
      "title": "Predict the next state from a transition model",
      "topics": [
        "predict_next_state"
      ]
    },
    {
      "page": "predict_time_varying_sequence_model",
      "title": "Predict a time-varying sequence model",
      "topics": [
        "predict_time_varying_sequence_model"
      ]
    },
    {
      "page": "prepare_gp3tools_sequences",
      "title": "Prepare common gp3tools-style sequence outputs",
      "topics": [
        "prepare_gp3tools_sequences"
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