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 Exponential Family Functional Data |
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. |