R-LearnBayes
Port variant standard
Summary Functions for Learning Bayesian Inference
BROKEN
Package version 2.15.1
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Keywords cran
Maintainer CRAN Automaton
License Not yet specified
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Last modified 15 APR 2020, 18:11:42 UTC
Port created 15 APR 2020, 18:11:42 UTC
Subpackage Descriptions
single LearnBayes: Functions for Learning Bayesian Inference A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
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Package Dependencies by Type
Build (only) gmake:primary:standard
R:primary:standard
icu:dev:standard
Runtime (only) R:primary:standard
R:nls:standard
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main mirror://CRAN/src/contrib
Distribution File Information
9b110858456523ca0b2a63f22013c4e1fbda6674b9d84dc1f4de8bffc5260532 794622 CRAN/LearnBayes_2.15.1.tar.gz
Ports that require R-LearnBayes:standard
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