Merge branch 'v0.8.2'

# Conflicts:
#	CHANGELOG.md
#	zepid/version.py

.travis.yml

@@ -3,22 +3,14 @@ language: python
 python:
    - "3.5"
    - "3.6"
-
-matrix:
-  include:
-    - python: 3.7
-      dist: xenial
-      sudo: true
+   - "3.7"
 
 notifications:
   email: false
 
-before_install:
-  - "pip install -U pip"
-  - "python setup.py install"
-
 install:
   - pip install -r travis-requirements.txt
+  - python setup.py install
 
 script:
   - pytest

CHANGELOG.md

@@ -1,5 +1,21 @@
 ## Change logs
 
+### v0.8.2
+`IPSW` and `AIPSW` now natively support adjusting for confounding. Both now have the `treatment_model()` function, 
+which calculates the inverse probability of treatment weights. How weights are handled in `AIPSW` are updated. They 
+are used in both the weight and the outcome models.
+
+`IPSW` and `AIPSW` both add censoring...
+
+`TimeFixedGFormula` has added support for the average treatment effect in the treated (ATT), and average treatment 
+effect in the untreated (ATU). 
+
+Improved warnings when the treatment/exposure variable is not included in models that it should be in (such as the 
+outcome model or in structural nested models).
+
+Background refactoring for IPTW. `utils.py` now contains a function to calculate inverse probability of treatment 
+weights. The function `iptw_calculator` is used by `IPTW`, `AIPTW`, `IPSW`, and `AIPSW` to calculate the weights now
+
 ### v0.8.1
 Added support for `pygam`'s `LogisticGAM` for TMLE with custom models (Thanks darrenreger!)
 

docs/Reference/Causal.rst

@@ -69,6 +69,7 @@ Targeted Maximum Likelihood Estimator
    :toctree: generated/
 
    TMLE
+   StochasticTMLE
 
 G-estimation of SNM
 -------------------

docs/Reference/generated/zepid.causal.doublyrobust.TMLE.StochasticTMLE.rst

@@ -0,0 +1,17 @@
+zepid.causal.doublyrobust.TMLE.StochastsicTMLE
+==============================================
+
+.. currentmodule:: zepid.causal.doublyrobust.StochasticTMLE
+
+.. autoclass:: StochasticTMLE
+   :members:
+
+   .. rubric:: Methods
+
+   .. autosummary::
+
+      ~TMLE.exposure_model
+      ~TMLE.outcome_model
+      ~TMLE.fit
+      ~TMLE.summary
+      ~TMLE.run_diagnostics

docs/Reference/generated/zepid.causal.generalize.estimators.AIPSW.rst

@@ -10,7 +10,8 @@ zepid.causal.generalize.estimators.AIPSW
 
    .. autosummary::
 
-      ~AIPSW.weight_model
+      ~AIPSW.sampling_model
+      ~AIPSW.treatment_model
       ~AIPSW.outcome_model
       ~AIPSW.fit
       ~AIPSW.summary

docs/Reference/generated/zepid.causal.generalize.estimators.IPSW.rst

@@ -10,6 +10,7 @@ zepid.causal.generalize.estimators.IPSW
 
    .. autosummary::
 
-      ~IPSW.regression_models
+      ~IPSW.sampling_model
+      ~IPSW.treatment_model
       ~IPSW.fit
       ~IPSW.summary