deconvolveR (1.0-3)

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Empirical Bayes Estimation Strategies.

http://github.com/bnaras/deconvolveR
http://cran.r-project.org/web/packages/deconvolveR

Empirical Bayes methods for learning prior distributions from data. An unknown prior distribution (g) has yielded (unobservable) parameters, each of which produces a data point from a parametric exponential family (f). The goal is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical Bayes methods.

Maintainer: Balasubramanian Narasimhan
Author(s): Bradley Efron [aut], Balasubramanian Narasimhan [aut, cre]

License: GPL (>= 2)

Uses: ggplot2, knitr, rmarkdown, cowplot

Released 8 months ago.


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