growthrate-package: Recovery of gradients from sparsely observed functional data
In growthrate: Bayesian reconstruction of growth velocity
Description
A nonparametric empirical Bayes method for recovering gradients (or growth velocities) from observations of smooth functions (e.g., growth curves) at isolated time points.
References
Lopez-Pintado, S. and McKeague, I. W. (2013).
Recovering gradients from sparsely observed functional
data. Biometrics 69, 396-404 (2013).
http://www.columbia.edu/~im2131/ps/growthrate-package-reference.pdf
growthrate documentation built on May 2, 2019, 3:43 p.m.
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Description
A nonparametric empirical Bayes method for recovering gradients (or growth velocities) from observations of smooth functions (e.g., growth curves) at isolated time points.
References
Lopez-Pintado, S. and McKeague, I. W. (2013). Recovering gradients from sparsely observed functional data. Biometrics 69, 396-404 (2013). http://www.columbia.edu/~im2131/ps/growthrate-package-reference.pdf
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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