home/categories/machine-learning/ecnu-icalk-autoskill-skillbank-convskill-english-gpt4-8-glm4-7-r-hierarchical-bayesian-mcmc-implementation-skill-md
machine-learningdata-ai
r-hierarchical-bayesian-mcmc-implementation
Generate complete R code for hierarchical Bayesian models using Gibbs/Metropolis sampling, strictly adhering to a user-provided template that includes initialization, sampling, convergence diagnostics (trace/ACF), multi-chain execution, thinning, and chain combination.
maintainer
ECNU-ICALK
Updated 3/13/2026
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304
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34
quick start
Installation and usage
Generate complete R code for hierarchical Bayesian models using Gibbs/Metropolis sampling, strictly adhering to a user-provided template that includes initialization, sampling, convergence diagnostics (trace/ACF), multi-chain execution, thinning, and chain combination.
Installation
$ install --globalskills.sh
Usage
Once installed, you can use this skill by running the following command in your terminal:
skills use r-hierarchical-bayesian-mcmc-implementation