The C++ header files of the Stan project are provided by this package,
but it contains no R code, vignettes, or function documentation. There
is a shared object containing part of the 'CVODES' library, but it is
not accessible from R. 'StanHeaders' is only useful for developers who
want to utilize the 'LinkingTo' directive of their package's DESCRIPTION
file to build on the Stan library without incurring unnecessary
dependencies. The Stan project develops a probabilistic programming
language that implements full or approximate Bayesian statistical
inference via Markov Chain Monte Carlo or 'variational' methods and
implements (optionally penalized) maximum likelihood estimation via
optimization. The Stan library includes an advanced automatic
differentiation scheme, 'templated' statistical and linear algebra
functions that can handle the automatically 'differentiable' scalar
types (and doubles, 'ints', etc.), and a parser for the Stan language.
The 'rstan' package provides user-facing R functions to parse, compile,
test, estimate, and analyze Stan models.
