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❗ This is a read-only mirror of the CRAN R package repository. deconvolveR — Empirical Bayes Estimation Strategies. Homepage: https://bnaras.github.io/deconvolveR/ Report bugs for this package: https://github.com/bnaras/deconvolveR/issues

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Empirical Bayes Deconvolution

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An unknown prior density $g(\theta)$ has yielded (unobservable) $\Theta_1, \Theta_2,\ldots,\Theta_N$, and each $\Theta_i$ produces an observation $X_i$ from an exponential family. deconvolveR is an R package for estimating prior distribution $g(\theta)$ from the data using Empirical Bayes deconvolution.

Details and examples may be found in the paper by Narasimhan and Efron, 2020. A vignette with further examples is also provided.

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❗ This is a read-only mirror of the CRAN R package repository. deconvolveR — Empirical Bayes Estimation Strategies. Homepage: https://bnaras.github.io/deconvolveR/ Report bugs for this package: https://github.com/bnaras/deconvolveR/issues

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