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"topics": [ "brmViolin" ] }, { "page": "checkGroups", "title": "Helper function to check groups in data.", "topics": [ "checkGroups" ] }, { "page": "combineDraws", "title": "Combine Draws From brms Models", "topics": [ "combineDraws" ] }, { "page": "conjugate", "title": "Bayesian testing using conjugate priors and method of moments for single or multi value traits.", "topics": [ "conjugate" ] }, { "page": "conjugate-class", "title": "Class 'conjugate' for output from the 'pcvr::conjugate' function.", "topics": [ "conjugate-class" ] }, { "page": "cumulativePheno", "title": "Reduce phenotypes in longitudinal data to cumulative sums of phenotypes.", "topics": [ "cumulativePheno" ] }, { "page": "distributionPlot", "title": "Function for plotting iterations of posterior distributions", "topics": [ "distributionPlot" ] }, { "page": "fitGrowth", "title": "Ease of use wrapper function for fitting various growth models specified by growthSS", "topics": [ "fitGrowth" ] }, { "page": 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function for fitting growth models specified by 'growthSS'", "topics": [ "fitGrowthnlrq" ] }, { "page": "fitGrowthnlrqgam", "title": "Ease of use rq wrapper function for fitting gams specified by 'growthSS'", "topics": [ "fitGrowthnlrqgam" ] }, { "page": "fitGrowthnls", "title": "Ease of use nls wrapper function for fitting growth models specified by 'growthSS'", "topics": [ "fitGrowthnls" ] }, { "page": "fitGrowthnlsgam", "title": "Ease of use lm wrapper function for fitting gams specified by 'growthSS'", "topics": [ "fitGrowthnlsgam" ] }, { "page": "fitGrowthrq", "title": "Ease of use rq wrapper function for fitting models specified by 'mvSS'", "topics": [ "fitGrowthrq" ] }, { "page": "fitGrowthsurvreg", "title": "Ease of use wrapper function for fitting growth models specified by 'growthSS'", "topics": [ "fitGrowthsurvreg" ] }, { "page": "flexsurvregPlot", "title": "Function to visualize 'flexsurv::flexsurvreg' models fit by 'fitGrowth'.", "topics": [ "flexsurvregPlot" ] }, { 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using cook's distance", "topics": [ "pcv.outliers" ] }, { "page": "pcv.plsr", "title": "Run Partial Least Squares Regression on spectral data", "topics": [ "pcv.plsr" ] }, { "page": "pcv.time", "title": "Time conversion and plotting for bellwether data", "topics": [ "pcv.time" ] }, { "page": "pcv.water", "title": "Read in lemnatech watering data from metadata.json files", "topics": [ "pcv.water" ] }, { "page": "pcvrss-class", "title": "Class 'pcvrss' for models specified in 'pcvr'.", "topics": [ "pcvrss", "pcvrss-class" ] }, { "page": "plot.conjugate", "title": "Plot a 'conjugate' object.", "topics": [ "plot.conjugate" ] }, { "page": "plotPrior", "title": "Check priors used in ease of use brms functions", "topics": [ "plotPrior" ] }, { "page": "plotVIP", "title": "Plot Variable Influence on Projection", "topics": [ "plotVIP" ] }, { "page": "print.conjugate", "title": "Print a 'conjugate' object.", "topics": [ "print.conjugate" ] }, { "page": "print.conjugatesummary", "title": "Print a 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NOTE ggplot2:::Stat$compute_layer can use the default from ggproto `make plot within a given panel of the ggplot (a facet)` this is mostly the same as the default ggproto compute_panel function, but it takes more named args and passes them to compute_group and avoids warning about individual/time columns. `make data out of model per a given aes-group, should only be 1 per panel` this is the heavily customized component which makes data for ribbons from the model and ss objects.", "topics": [ "statBrmsMod" ] }, { "page": "statNlsMod", "title": "leaving the same as statBrmsMod for now. NOTE I think this can stay the same from brms version `make data out of model per a given aes-group, should only be 1 per panel` this is the heavily customized component which makes data for ribbons from the model and ss objects.", "topics": [ "statNlsMod" ] }, { "page": "summary.conjugate", "title": "Summarize a 'conjugate' object.", "topics": [ "summary.conjugate" ] }, { "page": "summary.pcvrss", "title": "Summarize a 'pcvrss' object.", "topics": [ "summary.pcvrss" ] }, { "page": "survregPlot", "title": "Function to visualize 'survival::survreg' models fit by 'fitGrowth'.", "topics": [ "survregPlot" ] }, { "page": "testGrowth", "title": "Hypothesis testing for fitGrowth models.", "topics": [ "testGrowth" ] } ], "_readme": "https://github.com/danforthcenter/pcvr/raw/HEAD/README.md", "_rundeps": [ "abind", "backports", "base64enc", "bayestestR", "boot", "broom", "bslib", "cachem", "car", "carData", "cli", "cluster", "colorspace", "cowplot", "cpp11", "crosstalk", "data.table", 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