diff --git a/README.md b/README.md index 868198c..b6ecb59 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # causal-curve -[![build status](http://img.shields.io/travis/ronikobrosly/causal-curve/master.svg?style=flat)](https://travis-ci.org/ronikobrosly/causal-curve) -[![codecov](https://codecov.io/gh/ronikobrosly/causal-curve/branch/master/graph/badge.svg)](https://codecov.io/gh/ronikobrosly/causal-curve) +[![build status](http://img.shields.io/travis/ronikobrosly/causal-curve/main.svg?style=flat)](https://travis-ci.org/ronikobrosly/causal-curve) +[![codecov](https://codecov.io/gh/ronikobrosly/causal-curve/branch/main/graph/badge.svg)](https://codecov.io/gh/ronikobrosly/causal-curve) [![DOI](https://zenodo.org/badge/256017107.svg)](https://zenodo.org/badge/latestdoi/256017107) Python tools to perform causal inference when the treatment of interest is continuous. @@ -49,7 +49,7 @@ Available via PyPI: You can also get the latest version of causal-curve by cloning the repository:: ``` -git clone -b master https://github.com/ronikobrosly/causal-curve.git +git clone -b main https://github.com/ronikobrosly/causal-curve.git cd causal-curve pip install . ``` diff --git a/causal_curve/core.py b/causal_curve/core.py index dd3c64d..c943a9d 100644 --- a/causal_curve/core.py +++ b/causal_curve/core.py @@ -12,7 +12,7 @@ class Core: def __init__(self): pass - __version__ = "1.0.4" + __version__ = "1.0.5" def get_params(self): """Returns a dict of all of the object's user-facing parameters diff --git a/docs/changelog.rst b/docs/changelog.rst index 264e2d3..a4c31aa 100644 --- a/docs/changelog.rst +++ b/docs/changelog.rst @@ -4,6 +4,11 @@ Change Log ========== +Version 1.0.5 +------------- +- Removed `master` branch, replaced with `main` +- Removed all mention of `master` branch from documentation + Version 1.0.4 ------------- - Fixed TMLE plot and code errors in documentation diff --git a/docs/conf.py b/docs/conf.py index d9d940e..100f3b2 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -23,7 +23,7 @@ author = "Roni Kobrosly" # The full version, including alpha/beta/rc tags -release = "1.0.4" +release = "1.0.5" # -- General configuration --------------------------------------------------- diff --git a/docs/contribute.rst b/docs/contribute.rst index 768910a..dab1693 100644 --- a/docs/contribute.rst +++ b/docs/contribute.rst @@ -90,7 +90,7 @@ pull request: your changes and switch to it:: git fetch upstream - git checkout -b my-feature upstream/master + git checkout -b my-feature upstream/main where ``my-feature`` is the name of your new branch (it's good practice to have an explicit name). You can now start making changes. @@ -108,7 +108,7 @@ pull request: 8. Create a pull request from your work. The base fork is the fork you would like to merge changes into, that is ``ronikobrosly/causal-curve`` on the - ``master`` branch. The head fork is the repository where you made your + ``main`` branch. The head fork is the repository where you made your changes, that is ``yourusername/causal-curve`` on the ``my-feature`` branch. Add a title and a description of your pull request, then click on **Create Pull Request**. diff --git a/docs/full_example.rst b/docs/full_example.rst index ed7fe7c..a1bd989 100644 --- a/docs/full_example.rst +++ b/docs/full_example.rst @@ -6,7 +6,7 @@ Health data: generating causal curves and examining mediation To provide an end-to-end example of the sorts of analyses `cause-curve` can be used for, we'll begin with a health topic. A notebook containing the pipeline to produce the following -output `is available here `_. +output `is available here `_. Note: Specific examples of the individual `causal-curve` tools with code are available elsewhere in this documentation. diff --git a/setup.py b/setup.py index 3e7196f..36a12a9 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ setuptools.setup( name="causal-curve", - version="1.0.4", + version="1.0.5", author="Roni Kobrosly", author_email="roni.kobrosly@gmail.com", description="A python library with tools to perform causal inference using \