{
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  "Package": "SSN2",
  "Title": "Spatial Modeling on Stream Networks",
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  "Description": "Spatial statistical modeling and prediction for data on\nstream networks, including models based on in-stream distance\n(Ver Hoef, J.M. and Peterson, E.E., (2010)\n<DOI:10.1198/jasa.2009.ap08248>.) Models are created using\nmoving average constructions. Spatial linear models, including\nexplanatory variables, can be fit with (restricted) maximum\nlikelihood.  Mapping and other graphical functions are\nincluded.",
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  "Repository": "https://usepa.r-universe.dev",
  "Date/Publication": "2025-11-13 18:59:13 UTC",
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  "Author": "Michael Dumelle [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3393-5529>),\nJay M. Ver Hoef [aut],\nErin Peterson [aut],\nAlan Pearse [ctb],\nDan Isaak [ctb],\nRyan A. Hill [ctb],\nMarc Weber [ctb]",
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      "title": "Imported SSN object from the MiddleFork04.ssn data folder",
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      "fields": [],
      "table": false,
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      "title": "Helper function to determining distance matrices among sites",
      "topics": [
        "amongSitesBigDistMat"
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    },
    {
      "page": "anova.SSN2",
      "title": "Compute analysis of variance and likelihood ratio tests of fitted model objects",
      "topics": [
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        "anova.ssn_glm",
        "anova.ssn_lm",
        "tidy.anova.ssn_glm",
        "tidy.anova.ssn_lm"
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    },
    {
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        "augment.ssn_glm",
        "augment.ssn_lm"
      ]
    },
    {
      "page": "coef.SSN2",
      "title": "Extract fitted model coefficients",
      "topics": [
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        "coef.ssn_glm",
        "coef.ssn_lm",
        "coefficients.ssn_glm",
        "coefficients.ssn_lm"
      ]
    },
    {
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      "title": "Confidence intervals for fitted model parameters",
      "topics": [
        "confint.SSN2",
        "confint.ssn_glm",
        "confint.ssn_lm"
      ]
    },
    {
      "page": "cooks.distance.SSN2",
      "title": "Compute Cook's distance",
      "topics": [
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        "cooks.distance.ssn_glm",
        "cooks.distance.ssn_lm"
      ]
    },
    {
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      "topics": [
        "copy_lsn_to_temp"
      ]
    },
    {
      "page": "covmatrix.SSN2",
      "title": "Create a covariance matrix",
      "topics": [
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        "covmatrix.ssn_glm",
        "covmatrix.ssn_lm"
      ]
    },
    {
      "page": "create_netgeom",
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      "topics": [
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    },
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      "page": "deviance.SSN2",
      "title": "Fitted model deviance",
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        "deviance.ssn_glm",
        "deviance.ssn_lm"
      ]
    },
    {
      "page": "fitted.SSN2",
      "title": "Extract model fitted values",
      "topics": [
        "fitted.SSN2",
        "fitted.ssn_glm",
        "fitted.ssn_lm",
        "fitted.values.ssn_glm",
        "fitted.values.ssn_lm"
      ]
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      "title": "Model formulae",
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        "formula.ssn_glm",
        "formula.ssn_lm"
      ]
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        "glance.ssn_glm",
        "glance.ssn_lm"
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    {
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      "title": "Glance at many fitted model objects",
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        "glances.ssn_glm",
        "glances.ssn_lm"
      ]
    },
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      "page": "hatvalues.SSN2",
      "title": "Compute leverage (hat) values",
      "topics": [
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        "hatvalues.ssn_glm",
        "hatvalues.ssn_lm"
      ]
    },
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        "influence.ssn_glm",
        "influence.ssn_lm"
      ]
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      "title": "Find labels from object",
      "topics": [
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        "labels.ssn_glm",
        "labels.ssn_lm"
      ]
    },
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      "page": "logLik.SSN2",
      "title": "Extract log-likelihood",
      "topics": [
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        "logLik.ssn_glm",
        "logLik.ssn_lm"
      ]
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      "title": "Perform leave-one-out cross validation",
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        "loocv.ssn_glm",
        "loocv.ssn_lm"
      ]
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      "page": "mf04p",
      "title": "Imported SSN object from the MiddleFork04.ssn data folder",
      "topics": [
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      "page": "MiddleFork04.ssn",
      "title": "MiddleFork04.ssn: Middle Fork 2004 stream temperature dataset",
      "topics": [
        "MiddleFork04.ssn"
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    },
    {
      "page": "model.frame.SSN2",
      "title": "Extract the model frame from a fitted model object",
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        "model.frame.ssn_glm",
        "model.frame.ssn_lm"
      ]
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        "model.matrix.ssn_glm",
        "model.matrix.ssn_lm"
      ]
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      "page": "plot.SSN2",
      "title": "Plot fitted model diagnostics",
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        "plot.SSN2",
        "plot.ssn_glm",
        "plot.ssn_lm"
      ]
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      "title": "Plot Torgegram",
      "topics": [
        "plot.Torgegram"
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      "title": "Model predictions (Kriging)",
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        "predict.ssn_glm",
        "predict.ssn_lm"
      ]
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      "page": "print.SSN",
      "title": "Print SSN object",
      "topics": [
        "print.SSN"
      ]
    },
    {
      "page": "print.SSN2",
      "title": "Print values",
      "topics": [
        "print.anova.ssn_glm",
        "print.anova.ssn_lm",
        "print.SSN2",
        "print.ssn_glm",
        "print.ssn_lm",
        "print.summary.ssn_glm",
        "print.summary.ssn_lm"
      ]
    },
    {
      "page": "pseudoR2.SSN2",
      "title": "Compute a pseudo r-squared",
      "topics": [
        "pseudoR2.SSN2",
        "pseudoR2.ssn_glm",
        "pseudoR2.ssn_lm"
      ]
    },
    {
      "page": "residuals.SSN2",
      "title": "Extract fitted model residuals",
      "topics": [
        "resid.ssn_glm",
        "resid.ssn_lm",
        "residuals.SSN2",
        "residuals.ssn_glm",
        "residuals.ssn_lm",
        "rstandard.ssn_glm",
        "rstandard.ssn_lm"
      ]
    },
    {
      "page": "ssn_create_bigdist",
      "title": "Calculate Hydrologic Distances for an 'SSN' object",
      "topics": [
        "ssn_create_bigdist"
      ]
    },
    {
      "page": "ssn_create_distmat",
      "title": "Calculate Hydrologic Distances for an 'SSN' object",
      "topics": [
        "ssn_create_distmat"
      ]
    },
    {
      "page": "ssn_get_data",
      "title": "Get a data.frame from an SSN, ssn_lm, or ssn_glm object",
      "topics": [
        "ssn_get_data"
      ]
    },
    {
      "page": "ssn_get_netgeom",
      "title": "Extract netgeom column",
      "topics": [
        "ssn_get_netgeom"
      ]
    },
    {
      "page": "ssn_get_stream_distmat",
      "title": "Get stream distance matrices from an 'SSN' object",
      "topics": [
        "ssn_get_stream_distmat"
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    },
    {
      "page": "ssn_glm",
      "title": "Fitting Generalized Linear Models for Spatial Stream Networks",
      "topics": [
        "ssn_glm"
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    {
      "page": "ssn_import",
      "title": "Import 'SSN' object",
      "topics": [
        "ssn_import"
      ]
    },
    {
      "page": "ssn_import_predpts",
      "title": "Import prediction points into an SSN, ssn_lm, or ssn_glm object",
      "topics": [
        "ssn_import_predpts"
      ]
    },
    {
      "page": "ssn_initial",
      "title": "Create a covariance parameter initial object",
      "topics": [
        "euclid_initial",
        "nugget_initial",
        "ssn_initial",
        "taildown_initial",
        "tailup_initial"
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    },
    {
      "page": "ssn_lm",
      "title": "Fitting Linear Models for Spatial Stream Networks",
      "topics": [
        "ssn_lm"
      ]
    },
    {
      "page": "ssn_names",
      "title": "Return names of data in an SSN object",
      "topics": [
        "ssn_names"
      ]
    },
    {
      "page": "ssn_params",
      "title": "Create covariance parameter objects.",
      "topics": [
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        "nugget_params",
        "ssn_params",
        "taildown_params",
        "tailup_params"
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      "source": "introduction.Rmd",
      "filename": "introduction.html",
      "title": "An Introduction to Spatial Stream Network Modeling in R Using SSN2",
      "author": "Michael Dumelle, Erin Peterson, Jay M. Ver Hoef, Alan Pearse, and Dan Isaak",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Background",
        "Input Data",
        "SSN Objects in SSN2",
        "The Middle Fork Data",
        "Spatial Stream Network (SSN) Models",
        "Linear SSN Models",
        "Model Summaries",
        "Prediction (Kriging)",
        "Advanced Features",
        "Generalized Linear SSN Models",
        "Simulating Spatial Stream Network Data",
        "Advanced Modeling Features in SSN2",
        "Function Glossary",
        "From SSN to SSN2",
        "The Future of SSN2",
        "Additional Spatial Stream Network Tools",
        "R Code Appendix",
        "References"
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      "created": "2023-10-20 22:10:58",
      "modified": "2025-11-13 18:59:13",
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