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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.

The current package is still under construction but will soon appear on CRAN along with a manuscript. Meanwhile, you can reproduce many examples by installing the package in R thus:

```
devtools::install_github("bnaras/deconvolveR")
library(deconvolveR)
vignette("deconvolution")
```

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