Releases: stan-dev/stan
v1.0.2
September 28, 2012
Stan and RStan 1.0.2
The Stan Development Team is happy to announce the release
of Stan/RStan 1.0.2. See:
1.0.2 is a patch release. Included are fixes that prevent seg faults,
print statments in the modeling language, additional vectorized
probability functions, and additions to the manual. More details are
at the end of this message.
Please don't hesitate to contact the user's group
mailing list with questions, comments, or suggestions.
--- Stan Development Team
V 1.0.2 Release Notes
======================================================================
Bug Fixes:
-- check ranges for LHS of assignment to prevent seg faults
-- added matrix size and shape tests to avoid seg faults
-- changed matrix to throw domain_error rather than illegal_argument
-- removed template variable names from distribution error msgs
-- indexing fixed for arrays of matrix/vector/row_vector
-- fixed sd() and variance() to return 0.0 for sequences of size 1
-- fixed void return type in auto_covariance
-- patch truncation to return -inf for variates out of range
-- upgraded BUGS ring model to use constraints plus tan2()
New Features:
-- print statements
-- multiply_lower_tri_self_transpose function
-- vectorized several probability functions (see the manual)
Manual Additions:
-- programming guide: IRT models
-- new appendix: style guide
-- new appendix: migrating from Stan
-- new index: function and distribution index
v1.0.1
September 11, 2012
Stan and RStan 1.0.1
We are happy to announce the release of
Stan/RStan 1.0.1. See:
1.0.1 is a patch release that fixes some major issues
with assignments to parameters, truncated probability
functions, visibility of functions within the modeling
language, and several minor issues.
The manual has also been double-checked to make
sure all of the code compiles and to incorporate all the
typo fixes people have submitted (thanks again!).
On the horizon, in addition to bug fixes, we have prioritized
vectorizing the remaining probability functions, adding more
cumulative distribution functions, adding new data types
to support multivariate analysis including constraints on
vector and matrix types, adding basic discrete sampling,
and parallelizing calls to Stan.
Please don't hesitate to contact the user's group
mailing list with questions, comments, or suggestions.
--- Stan Development Team
v1.0.0
August 30, 2012
Stan 1.0.0 and RStan 1.0.0
It’s official. The Stan Development Team is happy to announce the first stable versions of Stan and RStan.
What is (R)Stan?
Stan is an open-source package for obtaining Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. It’s sort of like BUGS, but with a different language for expressing models and a different sampler for sampling from their posteriors.
RStan is the R interface to Stan.
Stan Home Page
Stan’s home page is: http://mc-stan.org/
It links everything you need to get started running Stan from the command line, from R, or from C++, including full step-by-step install instructions, a detailed user’s guide and reference manual for the modeling language, and tested ports of most of the BUGS examples.
Peruse the Manual
If you’d like to learn more, the Stan User’s Guide and Reference Manual is the place to start.