diff --git a/README.rst b/README.rst index 8302c7f..3c926ce 100644 --- a/README.rst +++ b/README.rst @@ -2,7 +2,8 @@ ``spvcm``: Gibbs sampling for spatially-correlated variance-components =========================================================================== -.. image:: https://circleci.com/gh/ljwolf/spvcm.png?circle-token=:circle-token +.. image:: https://travis-ci.org/ljwolf/spvcm.svg?branch=travistest + :target: https://travis-ci.org/ljwolf/spvcm This is a package to estimate spatially-correlated variance components models/varying intercept models. In addition to a general toolkit to conduct Gibbs sampling in Python, the package also provides an interface to PyMC3 and CODA. For a complete overview, consult the walkthrough_.