What is exponential family registration? | The registr model and algorithm | The registr package | A note on data formatting | Data simulation | Simulate data for registration | Simulate data for GFPCA | Joint registration and GFPCA using register_fpca() | Analyzing binary data | Analyzing gaussian data | Estimating the GFPCA | Binomial FPCA using bfpca() | Generalized FPCA using gfpca_twoStep() | Estimating the registration using registr() | Additional features | Registering incomplete curves | Parametric inverse warping functions | Periodic B-spline basis functions for GFPCA | Choosing the template function | Help files | References

VectraPolarisData | Setting up the mxFDA object | Make mxFDAobject | Spatial summary functions based on point processes | Univariate summary functions | Plotting the mxFDA object | Bivariate summary functions | Plotting bivariate G | Entropy | Exploring the S4 object | SpatialTIME | References

Functional data notation | Functional principal components analysis (FPCA) | Background on FPCA | Implementing FPCA | Load and visualize data | Run and visualize FPCA | Multilevel functional principal components analysis (MFPCA) | MFPCA Background | Implementing MFPCA | Run and visualize MFPCA | References

Ovarian cancer multiplex imaging data | Functional regression models for survival outcomes | Cox regression using functional principal components as covariates | Linear and additive functional Cox regression models | Linear functional Cox model (LFCM) | Additive functional Cox model (AFCM) | Model summaries and C-index | Functional regression models for binary and continuous outcomes | Continuous outcome | Binary outcome

Introduction | Incomplete curve methodology | Application on incomplete growth data | Small lambda_inc | Larger lambda_inc | Choosing an optimal lambda_inc | Constraint matrices for the optimization | Complete curve setting | Leading incompleteness only | Trailing incompleteness only | Leading and trailing incompleteness | Help files