# (Py, R, Cmd) Stan 2.3 Released

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**Statistical Modeling, Causal Inference, and Social Science » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

We’re happy to announce RStan, PyStan and CmdStan 2.3.

Instructions on how to install at:

As always, let us know if you’re having problems or have comments or suggestions.

We’re hoping to roll out the next release a bit quicker this time, because we have lots of good new features that are almost ready to go (vectorizing multivariate normal, higher-order autodiff for probability functions, differential equation solver, L-BFGS optimizer).

Here are the official release notes.

v.2.3.0 (18 June 2014) ====================================================================== We had a record number of user-submitted patches this go around. Thanks to everyone! New Features ------------ * user-defined function definitions added to Stan language * cholesky_corr data type for Cholesky factors of correlation matrices * a^b syntax for pow(a,b) (thanks to Mitzi Morris) * reshaping functions: to_matrix(), to_vector(), to_row_vector(), to_array_1d(), to_array_2d() * matrix operations: quad_form_sym() (x' *Sigma * x), QR decompositions qr_Q(), qr_R() * densities: Gaussian processes multi_gp_log(), multi_gp(), and alternative negative binomial parameterization neg_binomial_2() * random number generator: multi_normal_cholesky_rng() * sorting: sort_indices_*() for returning indexes in sorted order by value * added JSON parser to C++ (not exposed through interfaces yet; thanks to Mitzi Morris) * many fixes to I/O for data and inits to check consistency and report errors * removed some uses of std::cout where they don't belong * updated parser for C++11 compatibility (thanks to Rob Goedman) New Developer -------------- * added Marco Inacio as core developer Optimizations ------------- * turned off Eigen asserts * efficiency improvements to posterior analysis print Documentation ------------- * Clarified licensing policy for individual code contributions * Huge numbers of fixes to the documentation, including many user-contributed patches (thanks!), fixes to parallelization in CmdStan, Windows install instructions, boundaries for Dirichlet and Beta, removed suggestion to use floor and ceiling as indices, vectorized many models, clarified that && doesn't short circuit, clarified von Mises normalization, updated censoring doc (thanks to Alexey Stukalov), negative binomial doc enhanced, new references, new discussion of hierarchical models referencing Betancourt and Girolami paper, * Avraham Adler was particularly useful in pointing out and fixing documentation errors Bug Fixes ------------ * fixed bug in lkj density * fixed bug in Jacobian for corr_matrix data type * fix cholesky_cov_matrix test code to allow use as parameter * fixed poisson_rng, neg_binomial_rng * allow binary operations (e.g., < and >) within range constraints * support MS Visual Studio 2008 * fixed memory leaks in categorical sampling statement, categorical_log function, and softmax functions * removed many compiler warnings * numerous bug fixes to arithmetic test code conditions and messages, including calls from * fixed model crashes when no parameter specified * fixed template name conflicts for some compiler bugs (thanks Kevin S. Van Horn) Code Reorganizations & Updates ------------------------------ * CmdStan is now in its own repository on GitHub: stan-dev/cmdstan * consolidate and simplify error handling across modules * pulled functionality from CmdStan command class and PyStan and RStan into Stan C++ * generalized some interfaces to allow std::vector as well as Eigen for compatibility * generalize some I/O CSV writer capabilities * optimization output text cleaned up * integer overflow during I/O now raises informative error messages * const correctness for chains (thanks Kevin S. Van Horn)

The post (Py, R, Cmd) Stan 2.3 Released appeared first on Statistical Modeling, Causal Inference, and Social Science.

To

**leave a comment**for the author, please follow the link and comment on their blog:**Statistical Modeling, Causal Inference, and Social Science » R**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.