R: Curve Registration for Exponential Family Functional Data

# Curve Registration for Exponential Family Functional Data

## Documentation for package ‘registr’ version 2.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

amp_curve | Simulate amplitude variance
bfpca | Binary functional principal components analysis
bfpca_argPreparation | Internal main preparation function for bfpca
bfpca_optimization | Internal main optimization for bfpca
bs_deriv | Nth derivative of spline basis
coarsen_index | Coarsen an index vector to a given resolution
constraints | Define constraints for optimization of warping functions
cov_hall | Covariance estimation after Hall et al. (2008)
crossprods_irregular | Crossproduct computation for highly irregular grids
crossprods_regular | Crossproduct computation for mostly regular grids
data_clean | Convert data to a 'refund' object
deriv.inv.logit | Estimate the derivative of the logit function
determine_npc | Determine the number of FPCs based on the share of explained variance
ensure_proper_beta | Correct slightly improper parameter vectors
expectedScores | Calculate expected score and score variance for the current subject.
expectedXi | Estimate variational parameter for the current subject.
fpca_gauss | Functional principal components analysis via variational EM
fpca_gauss_argPreparation | Internal main preparation function for fpca_gauss
fpca_gauss_optimization | Internal main optimization for fpca_gauss
gfpca_twoStep | Generalized functional principal component analysis
grid_subj_create | Generate subject-specific grid (t_star)
growth_incomplete | Berkeley Growth Study data with simulated incompleteness
initial_params | Create initial parameters for (inverse) warping functions
lambdaF | Apply lambda transformation of variational parameter.
loss_h | Loss function for registration step optimization
loss_h_gradient | Gradient of loss function for registration step
mean_curve | Simulate mean curve
mean_sim | Simulate mean
nhanes | NHANES activity data
piecewise_linear2_hinv | Create two-parameter piecewise linear (inverse) warping functions
plot.fpca | Plot the results of a functional PCA
psi1_sim | Simulate PC1
psi2_sim | Simulate PC2
register_fpca | Register curves using constrained optimization and GFPCA
registr | Register (in)complete curves from exponential family
registr_oneCurve | Internal function to register one curve
simulate_functional_data | Simulate functional data
simulate_unregistered_curves | Simulate unregistered curves
squareTheta | Calculate quadratic form of spline basis functions for the current subject.