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R.
R INTERFACE TO STAN • RSTAN User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the StanHeaders package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally ACCESSING THE CONTENTS OF A STANFIT OBJECT • RSTAN "mu" "tau" "eta" "theta" "lp__" In this model the parameters mu and tau are scalars and theta is a vector with eight elements. This means that the draws for mu and tau will be vectors (with length equal to the number of post-warmup iterations times the number of chains) and the draws for theta will be a matrix, with each column corresponding to one of the eight components:GGPLOT2 FOR RSTAN
Value. A ggplot object that can be further customized using the ggplot2 package.. Note. Because the rstan plotting functions use ggplot2 (and thus the resulting plots behave like ggplot objects), when calling a plotting function within a loop or when assigning a plot to a name (e.g., graphDetails
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