Update documentation version to 0.7.1.

brian-j-smith · Oct 25, 2015 · eb9b8e0 · eb9b8e0
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diff --git a/NEWS.md b/NEWS.md
@@ -2,6 +2,16 @@
 
 ## Version Updates
 
+### 0.7.1
+* Implemented Binary Hamiltonian Monte Carlo (BHMC) and Binary Metropolised Gibbs (BMG) samplers for binary model parameters.
+* Implemented pairwise posterior density contour plots.
+* Implemented the Metropolis-Adjusted Langevin Algorithm (MALA) sampler.
+* Added ``first()``, ``step()``, and ``last()`` methods for getting ``AbstractChains`` iteration information.
+* Implemented indexing of ``ModelChains`` by model node symbols.
+* Added ``logpdf()`` method for ``ModelChains``.
+* Relaxed requirement that all sampled nodes be monitored for the calculation of DIC and for the simulation of draws from posterior predictive distributions.
+* Removed ``dependents`` field from ``Model`` type.
+
 ### 0.7.0
 * Implemented function syntax for specification of nodes and user-defined ``Sampler`` constructors.
 * Changed DSG sampler support field and arguments from Vector to Matrix.

diff --git a/README.md b/README.md
@@ -29,6 +29,7 @@ Several software options are available for MCMC sampling of Bayesian models.  In
 * Convergence diagnostics: Gelman, Rubin, and Brooks; Geweke; Heidelberger and Welch; Raftery and Lewis.
 * Posterior summaries: moments, quantiles, HPD, cross-covariance, autocorrelation, MCSE, ESS.
 * [Gadfly](https://github.com/dcjones/Gadfly.jl) plotting: trace, density, running mean, autocorrelation.
+* Importing of sampler output saved in the CODA file format.
 * Run-time performance on par with compiled MCMC software.
 
 ## Getting Started

diff --git a/doc/conf.py b/doc/conf.py
@@ -65,7 +65,7 @@
 # The short X.Y version.
 version = '0.7'
 # The full version, including alpha/beta/rc tags.
-release = '0.7.0'
+release = '0.7.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

diff --git a/doc/index.rst b/doc/index.rst
@@ -38,6 +38,7 @@ Features
     * Convergence diagnostics: Gelman, Rubin, and Brooks; Geweke; Heidelberger and Welch; Raftery and Lewis.
     * Posterior summaries: moments, quantiles, HPD, cross-covariance, autocorrelation, MCSE, ESS.
     * `Gadfly <https://github.com/dcjones/Gadfly.jl>`_ plotting: trace, density, running mean, autocorrelation.
+    * Importing of sampler output saved in the CODA file format.
     * Run-time performance on par with compiled MCMC software.
 
 Getting Started