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README.md
In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference
ggmcmc
ggmcmc is a tool for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.
To install or update, run:
install.packages("ggmcmc", dependencies=TRUE)
Check the main page with resources for ggmcmc.
Report bugs, request improvements, ask questions or provide ideas at the issues page.
Try the ggmcmc package in your browser
Any scripts or data that you put into this service are public.
ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
ggmcmc
ggmcmc is a tool for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.
To install or update, run:
install.packages("ggmcmc", dependencies=TRUE)
Check the main page with resources for ggmcmc.
Report bugs, request improvements, ask questions or provide ideas at the issues page.
Try the ggmcmc package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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