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| as_refundObj | Convert data to refund objects for use in functional data analyses |
| as_refundObj.matrix | Convert matrices to dataframes for use in functional data analyses |
| bakeLasagna | Create side-by-side lasagna plot and density plot |
| combinat | internal function from 'fda' package |
| createInputCall | Create input calls for plot_shiny.fosr() |
| createInvLink | Return inverse link function for plot_shiny.fpca() |
| downloadModule | download Plot as PDF or ggplot Object, modularized server |
| downloadModuleUI | download Plot as PDF or ggplot Object, modularized UI |
| fMBD | fast modified band depth calculation for fda Method for fast modified band depth (fMBD) calculation |
| makeLasagna | Pre-process data for lasagna plot |
| mfpcaCalls | Create input calls for plot_shiny.mfpca() |
| outliers | Identifies outliers for plot_shiny.fosr() |
| plot_shiny | plot_shiny The generic function for interactive plots of functional data analyses |
| plot_shiny.flcm | Interactive Plotting for Functional Linear Concurrent regression |
| plot_shiny.fosr | Interactive Plotting for Functional-on-Scalar Regressions |
| plot_shiny.fpca | Interactive Plotting for Functional Principal Component Analysis |
| plot_shiny.lfpca | Interactive Plotting for Longtiudinal Functional Data Analysis using FPCA |
| plot_shiny.mfpca | Interactive Plotting for Multilevel Functional Principal Component Analysis |
| savePDF | Save Plot Object as PDF |
| savePlot | Save Plot Object as .RData file |
| tabPanelModule | download Plot as PDF or ggplot Object, modularized server |
| tabPanelModuleUI | modularized UI for creating a new tab |
| varPercent | Calculate percent variance of eigenvalues for plot_shiny.mfpca() |