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. |