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depscope/conda/r-mcmcpack

r-mcmcpack

condav1.5_0

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.

License GPL-3.0-only14 versions1 maintainers0 deps759 weekly dl
52
/ 100
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safe to use

[email protected]_0 is safe to use (health: 52/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2020-06-01 03:33:27.244000+00:00

Last updated · 2025-09-17 08:14:40.889000+00:00

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