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Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return coda mcmc objects that can then be summarized using the coda package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.

copied from cf-staging / r-mcmcpack
Type Size Name Uploaded Downloads Labels
conda 2.0 MB | win-64/r-mcmcpack-1.6_1-r40ha856d6a_0.tar.bz2  2 years and 9 months ago 702 main
conda 1.9 MB | win-64/r-mcmcpack-1.6_1-r41ha856d6a_0.tar.bz2  2 years and 9 months ago 695 main
conda 2.4 MB | osx-64/r-mcmcpack-1.6_1-r41hc4bb905_0.tar.bz2  2 years and 9 months ago 86 main
conda 2.4 MB | osx-64/r-mcmcpack-1.6_1-r40hc4bb905_0.tar.bz2  2 years and 9 months ago 83 main
conda 2.0 MB | linux-64/r-mcmcpack-1.6_1-r41h7525677_0.tar.bz2  2 years and 9 months ago 1931 main
conda 2.1 MB | linux-64/r-mcmcpack-1.6_1-r40h7525677_0.tar.bz2  2 years and 9 months ago 1853 main

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