Stan 2.7 (CRAN, variational inference, and much much more)
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Stan 2.7 is now available for all interfaces. As usual, everything you need can be found starting from the Stan home page:
Highlights
- RStan is on CRAN!(1)
- Variational Inference in CmdStan!!(2)
- Two new Stan developers!!!
- A whole new logo!!!!
- Math library with autodiff now available in its own repo!!!!!
(1) Just doing install.packages(“rstan”) isn’t going to work because of dependencies; please go to the RStan getting started page for instructions of how to install from CRAN. It’s much faster than building from source and you no longer need a machine with a lot of RAM to install.
(2) Coming soon to an interface near you.
Full Release Notes
v2.7.0 (9 July 2015) ====================================================================== New Team Members -------------------------------------------------- * Alp Kucukelbir, who brings you variational inference * Robert L. Grant, who brings you the StataStan interface Major New Feature -------------------------------------------------- * Black-box variational inference, mean field and full rank (#1505) New Features -------------------------------------------------- * Line numbers reported for runtime errors (#1195) * Wiener first passage time density (#765) (thanks to Michael Schvartsman) * Partial initialization (#1069) * NegBinomial2 RNG (#1471) and PoissonLog RNG (#1458) and extended range for Dirichlet RNG (#1474) and fixed Poisson RNG for older Mac compilers (#1472) * Error messages now use operator notation (#1401) * More specific error messages for illegal assignments (#1100) * More specific error messages for illegal sampling statement signatures (#1425) * Extended range on ibeta derivatives with wide impact on CDFs (#1426) * Display initialization error messages (#1403) * Works with Intel compilers and GCC 4.4 (#1506, #1514, #1519) Bug Fixes -------------------------------------------------- * Allow functions ending in _lp to call functions ending in _lp (#1500) * Update warnings to catch uses of illegal sampling functions like CDFs and updated declared signatures (#1152) * Disallow constraints on local variables (#1295) * Allow min() and max() in variable declaration bounds and remove unnecessary use of math.h and top-level :: namespace (#1436) * Updated exponential lower bound check (#1179) * Extended sum to work with zero size arrays (#1443) * Positive definiteness checks fixed (were > 1e-8, now > 0) (#1386) Code Reorganization and Back End Upgrades -------------------------------------------------- * New static constants (#469, #765) * Added major/minor/patch versions as properties (#1383) * Pulled all math-like functionality into stan::math namespace * Pulled the Stan Math Library out into its own repository (#1520) * Included in Stan C++ repository as submodule * Removed final usage of std::cout and std::cerr (#699) and updated tests for null streams (#1239) * Removed over 1000 CppLint warnings * Remove model write CSV methods (#445) * Reduced generality of operators in fvar (#1198) * Removed folder-level includes due to order issues (part of Math reorg) and include math.hpp include (#1438) * Updated to Boost 1.58 (#1457) * Travis continuous integration for Linux (#607) * Add grad() method to math::var for autodiff to encapsulate math::vari * Added finite diff functionals for testing (#1271) * More configurable distribution unit tests (#1268) * Clean up directory-level includes (#1511) * Removed all lint from new math lib and add cpplint to build lib (#1412) * Split out derivative functionals (#1389) Manual and Documentation -------------------------------------------------- * New Logo in Manual; remove old logos (#1023) * Corrected all known bug reports and typos; details in issues #1420, #1508, #1496 * Thanks to Sunil Nandihalli, Andy Choi, Sebastian Weber, Heraa Hu, @jonathan-g (GitHub handle), M. B. Joseph, Damjan Vukcevic, @tosh1ki (GitHub handle), Juan S. Casallas * Fix some parsing issues for index (#1498) * Added chapter on variational inference * Added strangely unrelated regressions and multivariate probit examples * Discussion from Ben Goodrich about reject() and sampling * Start to reorganize code with fast examples first, then explanations * Added CONTRIBUTING.md file (#1408)
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