Merge pull request #15 from martinholmer/0-2-0

Update package version requirements

README.md

@@ -49,7 +49,7 @@ providing details on what you think should be added to Behavioral-Responses.
 
 If you want to **propose code changes**, follow the directions in the
 [Tax-Calculator Contributor
-Guide](http://taxcalc.readthedocs.io/en/latest/contributor_guide.html)
+Guide](https://taxcalc.readthedocs.io/en/latest/contributor_guide.html)
 on how to fork and clone the Behavioral-Responses git repository.
 Before developing any code changes be sure to read completely the
 Tax-Calculator Contributor Guide and then read about the
@@ -70,7 +70,7 @@ Citing Behavioral-Responses
 Please cite the source of your analysis as "Behavioral-Responses
 release #.#.#, author's calculations." If you wish to link to
 Behavioral-Responses,
-http://open-source-economics.github.io/Behavioral-Responses/ is
+https://open-source-economics.github.io/Behavioral-Responses/ is
 preferred.  Additionally, we strongly recommend that you describe the
 elasticity assumptions used, and provide a link to the materials
 required to replicate your analysis or, at least, note that those

RELEASES.md

@@ -4,6 +4,26 @@ Go [here](https://github.com/open-source-economics/Behavioral-Responses/pulls?q=
 for a complete commit history.
 
 
+2018-11-03 Release 0.2.0
+------------------------
+(last merged pull request is
+[#15](https://github.com/open-source-economics/Behavioral-Responses/pull/15))
+
+**API Changes**
+- Make specification of required package versions comply with style in conda cheat sheet
+  [[#15](https://github.com/open-source-economics/Behavioral-Responses/pull/15)
+  by Martin Holmer]
+
+**New Features**
+- None
+
+**Bug Fixes**
+- None
+
+
+_Earlier Releases:_
+
+
 2018-11-01 Release 0.1.0
 ------------------------
 (last merged pull request is

conda.recipe/meta.yaml

@@ -5,14 +5,14 @@ package:
 requirements:
   build:
     - python=3.6
-    - numpy=1.13
-    - pandas=0.23
+    - "numpy>=1.13"
+    - "pandas>=0.22"
     - taxcalc
 
   run:
     - python=3.6
-    - numpy=1.13
-    - pandas=0.23
+    - "numpy>=1.13"
+    - "pandas>=0.22"
     - taxcalc
 
 test:

docs/index.html

@@ -14,12 +14,12 @@ <h1 id="top">Using Behavioral-Responses</h1>
 <p>This document tells you how to use Behavioral-Responses, an
 open-source model in the Policy Simulation Library (PSL) collection of
 USA tax models.  You always use Behavioral-Responses in conjunction with
-<a href="http://open-source-economics.github.io/Tax-Calculator/">
+<a href="https://open-source-economics.github.io/Tax-Calculator/">
 Tax-Calculator</a>, the static-analysis model in the PSL collection of
 USA tax models, by writing and executing a Python script.  For an
 introduction to writing Python scripts using Tax-Calculator, read the
 tested recipes in our
-<a href="http://open-source-economics.github.io/Tax-Calculator/cookbook.html">
+<a href="https://open-source-economics.github.io/Tax-Calculator/cookbook.html">
 Tax-Calculator Cookbook</a>.  If you want to participate in the
 development of Behavioral-Responses &mdash; by asking a question,
 reporting a bug, improving the documentation or making an enhancement
@@ -51,7 +51,7 @@ <h2 id="paramlogic">Response Parameters and Logic</h2>
 <kbd>response</kbd> function.</p>
 
 <p>An interface to Behavioral-Responses for the
-<a href="http://www.ospc.org/taxbrain/">TaxBrain web application</a>
+<a href="https://www.ospc.org/taxbrain/">TaxBrain web application</a>
 is located in the
 <a href="https://github.com/open-source-economics/Behavioral-Responses/blob/master/behresp/tbi.py">
 tbi.py</a> file.  But this is of interest only to TaxBrain developers.</p>
@@ -89,7 +89,7 @@ <h2 id="pyrecipe">Basic Python Recipe</h2>
 of the parameters vary across (say, earnings) groups, you can use the
 Tax-Calculator <kbd>quantity_response</kbd> function.  A recipe for
 doing this is contained in the
-<a href="http://open-source-economics.github.io/Tax-Calculator/cookbook.html">
+<a href="https://open-source-economics.github.io/Tax-Calculator/cookbook.html">
 Tax-Calculator Cookbook</a>.  That recipe simply estimates the
 responses.  But the techniques used in the Behavioral-Responses
 <kbd>response</kbd> function can be used to apply the estimated

environment.yml

@@ -3,8 +3,8 @@ channels:
 - ospc
 dependencies:
 - python=3.6
-- numpy=1.13
-- pandas=0.23
+- "numpy>=1.13"
+- "pandas>=0.22"
 - taxcalc
 - pytest
 - pytest-pep8