ggmcmc is an R package for analyzing Markov chain Monte Carlo simulations from Bayesian inference. By using a well known example of hierarchical/multilevel modeling, the article reviews the potential uses and options of the package, ranging from …
There is a pdf version of Using the ggmcmc package.
Why ggmcmc? ggplot2, based on the grammar of graphics (Wilkinson et al. 2005), empowers R users by allowing them to flexibly crate graphics (Wickham 2009). Based on this idea, ggmcmc is aimed at bringing the design and implementation of ggplot2 to MCMC diagnostics, allowing Bayesian inference users to have better and more flexible visual diagnostic tools.
ggplot2 is based on the idea that the input of any graphic is a data frame mapped to aesthetic attributes (colour, size) of geometric objects (points, lines).
The regulatory regionalism approach has increasingly claimed that a new mode of regional governance is emerging globally. Regional policy regimes, developed in broad social and economic territorial areas, affect the internal transformation of the …
Amid the swarm of debate about emotional intelligence (EI) among academics are claims that cognitive intelligence, or general mental ability (_g_), is a stronger predictor of life and work outcomes as well as the counter claims that EI is their …