Gradient of loss function for registration step
loss_h_gradient(
Y,
Theta_h,
mean_coefs,
knots,
beta.inner,
family = "gaussian",
t_min,
t_max
)
A numeric vector of spline coefficients for the gradient of the loss function.
vector of observed points.
B-spline basis for inverse warping functions.
spline coefficient vector for mean curve.
knot locations for B-spline basis used to estimate mean and FPC basis function.
spline coefficient vector to be estimated for warping function h.
gaussian
or binomial
.
minimum value to be evaluated on the time domain.
maximum value to be evaluated on the time domain.
Julia Wrobel jw3134@cumc.columbia.edu