amp_curve | Simulate amplitude variance |
bfpca | Binary functional principal components analysis |
bs_deriv | Nth derivative of spline basis |
constraints | Define constraints for optimization of warping functions |
data_clean | Convert data to a 'refund' object |
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 |
grid_subj_create | Generate subject-specific grid (t_star) |
h_inv_parametric | One parameter parametric warping on (0, T) |
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_parametric_hinv | Create two-parameter piecewise (inverse) warping functions |
psi1_sim | Simulate PC1 |
psi2_sim | Simulate PC2 |
register_fpca | Register curves using constrained optimization and GFPCA |
registr | Register Exponential Family Functional Data |
simulate_functional_data | Simulate functional data |
simulate_unregistered_curves | Simulate unregistered curves |
squareTheta | Calculate quadratic form of spline basis functions for the current subject. |