sctyner/dprocsim: Distribution Estimation Accounting for Prior Uncertainty in a Bayesian Analysis
Simulate distribution functions from Dirichlet Process priors when the distribution of data is unknown. Then, using the conjugacy of the DPP, simulate from the posterior after obtaining data. Finally, approximate the posterior density with intervals around values in the range.
Getting started
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Package details |
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| Maintainer | |
| License | GPL-2 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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