Khatf


		The fine grid of <code>d</code> equispaced-time points (between the first and last observation times in <code>tobs</code>) at which the posterior means and covariances are computed.
	

tgrid


		Row vector of n observation times (in increasing order, same for each subject).
	

tobs


		Infinitessimal standard deviation of the tied-down Brownian motion in the prior.
	

sigma


		Posterior covariance at the observation times <code>tobs</code> (same for every subject).
	

Sigmahat


	Internal function. Finds the posterior covariance kernel on the fine grid <code>tgrid</code> (same for every subject); see Section 2 of the referenced article for further details.


A nonparametric empirical Bayes method for recovering
gradients (or growth velocities) from observations of smooth
functions (e.g., growth curves) at isolated time points.

Khatf: posterior covariance kernel

Description

Usage

Arguments