A nonparametric empirical Bayes method for recovering gradients (or growth velocities) from observations of smooth functions (e.g., growth curves) at isolated time points.
|Author||Sara Lopez-Pintado and Ian W. McKeague|
|Date of publication||2014-08-13 18:59:22|
|Maintainer||Ian W. McKeague <email@example.com>|
|License||GPL-3 | file LICENSE|
cv.growth: cross validation error
diffquo: converts height data into difference quotients
growth: recovery of growth velocities
growthrate-package: Recovery of gradients from sparsely observed functional data
height_data: height data
Khatf: posterior covariance kernel
new.growth: recovery of growth velocity for a new subject
posteriordistribcurve: posterior mean
posteriorobs: posterior mean and covariance at observation times
priormeanobs: prior mean
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