DOC/RLS: Final update for release 0.14

docs/source/_static/stylesheets/deprecation.css

@@ -23,7 +23,7 @@ div.deprecated, div.versionadded, div.versionchanged {
     position: relative;
     transition: color .25s,background-color .25s,border-color .25s;
     vertical-align: middle;
-    font-size: 0.64rem;
+    font-size: 0.72rem;
 }
 div.deprecated>p, div.versionadded>p, div.versionchanged>p {
     margin-bottom: .6rem;
@@ -35,6 +35,11 @@ div.deprecated {
     background-color: rgba(255, 0, 0, 0.1);
 }
 
+div.versionadded {
+    border-color: #459db9;
+    background-color: rgba(0, 191, 255, 0.1);
+}
+
 span.versionmodified {
     font-weight: 600;
 }
@@ -47,7 +52,14 @@ div.deprecated p:before {
     background-color: #dc3545;
 }
 
+div.versionadded p:before {
+    background-color: #459db9;
+}
+
 span.versionmodified.deprecated:before {
     color: #dc3545;
 }
 
+span.versionmodified.added {
+    color: #459db9;
+}

docs/source/release/version0.14.0.rst

@@ -21,11 +21,11 @@ was already in statsmodels main and how much usage it has already
 seen.  If there are specific known problems or limitations, then they
 are mentioned in the docstrings.
 
-Github Stats
-------------
-**Issues Closed**: 248
+Stats
+-----
+**Issues Closed**: 255
 
-**Pull Requests Merged**: 335
+**Pull Requests Merged**: 345
 
 
 The Highlights
@@ -144,7 +144,7 @@ Submodules
 - Fix a typo in the documentation  (:pr:`8275`)
 - Fix `histogram`  (:pr:`8299`)
 - Add notebook for Poisson post-estimation overview  (:pr:`8420`)
-
+- Add version  (:pr:`8863`)
 
 
 
@@ -186,6 +186,7 @@ Submodules
 - MNLogit if endog is series with no name   (:pr:`8674`)
 - Get_distribution, return 1-d instead of column frozen distribution  (:pr:`8780`)
 - Numpy compat, indexed assignment shape in NegativeBinomial  (:pr:`8822`)
+- Support offset in truncated count models  (:pr:`8845`)
 
 
 
@@ -245,6 +246,9 @@ Submodules
 - Update PRs in release note  (:pr:`8805`)
 - Improve release notes highlights  (:pr:`8806`)
 - Fix more deprecations and restore doc build  (:pr:`8826`)
+- Final changes for 0.14.0rc0 notes  (:pr:`8839`)
+- Fix internet address of dataset  (:pr:`8861`)
+- Small additional fixes  (:pr:`8862`)
 
 
 
@@ -616,7 +620,7 @@ Thanks to all of the contributors for the 0.14.0 release (based on git log):
 - Eva Maxfield Brown
 - Evgeny Zhurko
 - Ewout Ter Hoeven
-- Geoffrey M. Oxberry
+- Geoffrey Oxberry
 - Greg Mcmahan
 - Gregory Parkes
 - Guilherme Silveira
@@ -629,6 +633,7 @@ Thanks to all of the contributors for the 0.14.0 release (based on git log):
 - Josef Perktold
 - João Tanaka
 - Kees Mulder
+- Kerby Shedden
 - Kevin Sheppard
 - Kirill Milash
 - Kirill Ulanov
@@ -1019,3 +1024,14 @@ The following Pull Requests were merged since the last release:
 - :pr:`8831`: BUG: Correct initial level, treand and seasonal
 - :pr:`8834`: MAINT: Switch DeprecationWarn to FutureWarn
 - :pr:`8835`: ENH: Add sharex for seasonal decompose plots
+- :pr:`8839`: DOC: Final changes for 0.14.0rc0 notes
+- :pr:`8845`: BUG/ENH: support offset in truncated count models
+- :pr:`8847`: DOC: Use JSON for versioning
+- :pr:`8851`: BUG: Fix added variable plots to work with OLS
+- :pr:`8857`: DOC: Small fix for STLForecast example
+- :pr:`8858`: DOC: Fix example notebooks
+- :pr:`8861`: DOC: Fix internet address of dataset
+- :pr:`8862`: DOC: Small additional fixes
+- :pr:`8863`: DOC: Add version
+- :pr:`8865`: MAINT: Move from Styler.applymap to map
+- :pr:`8866`: DOC: Add admonitions for changes and deprecations

statsmodels/discrete/truncated_model.py

@@ -31,7 +31,7 @@
 class TruncatedLFGeneric(CountModel):
     __doc__ = """
     Generic Truncated model for count data
-    
+
     .. versionadded:: 0.14.0
 
     %(params)s
@@ -509,7 +509,7 @@ class TruncatedLFNegativeBinomialP(TruncatedLFGeneric):
     Truncated Generalized Negative Binomial model for count data
 
     .. versionadded:: 0.14.0
-    
+
     %(params)s
     %(extra_params)s
 
@@ -1045,7 +1045,7 @@ def _prob_nonzero(self, mu, params):
 class HurdleCountModel(CountModel):
     __doc__ = """
     Hurdle model for count data
-    
+
     .. versionadded:: 0.14.0
 
     %(params)s

statsmodels/stats/rates.py

@@ -1,4 +1,5 @@
-'''Test for ratio of Poisson intensities in two independent samples
+'''
+Test for ratio of Poisson intensities in two independent samples
 
 Author: Josef Perktold
 License: BSD-3
@@ -639,7 +640,7 @@ def test_poisson_2indep(count1, exposure1, count2, exposure2, value=None,
         Ratio of the two Poisson rates under the Null hypothesis. Default is 1.
         Deprecated, use ``value`` instead.
 
-        .. deprecaated:: 0.14.0
+        .. deprecated:: 0.14.0
 
             Use ``value`` instead.
 
@@ -908,12 +909,12 @@ def etest_poisson_2indep(count1, exposure1, count2, exposure2, ratio_null=None,
                          value=None, method='score', compare="ratio",
                          alternative='two-sided', ygrid=None,
                          y_grid=None):
-    """E-test for ratio of two sample Poisson rates.
-
-        Rates are defined as expected count divided by exposure.
+    """
+    E-test for ratio of two sample Poisson rates.
 
-    The Null and alternative hypothesis for the rates, rate1 and rate2, of two
-    independent Poisson samples are
+    Rates are defined as expected count divided by exposure. The Null and
+    alternative hypothesis for the rates, rate1 and rate2, of two independent
+    Poisson samples are:
 
     for compare = 'diff'
 
@@ -943,7 +944,7 @@ def etest_poisson_2indep(count1, exposure1, count2, exposure2, ratio_null=None,
         Ratio of the two Poisson rates under the Null hypothesis. Default is 1.
         Deprecated, use ``value`` instead.
 
-        .. deprecaated:: 0.14.0
+        .. deprecated:: 0.14.0
 
             Use ``value`` instead.
 
@@ -960,9 +961,9 @@ def etest_poisson_2indep(count1, exposure1, count2, exposure2, ratio_null=None,
     alternative : string
         The alternative hypothesis, H1, has to be one of the following
 
-           'two-sided': H1: ratio of rates is not equal to ratio_null (default)
-           'larger' :   H1: ratio of rates is larger than ratio_null
-           'smaller' :  H1: ratio of rates is smaller than ratio_null
+        - 'two-sided': H1: ratio of rates is not equal to ratio_null (default)
+        - 'larger' :   H1: ratio of rates is larger than ratio_null
+        - 'smaller' :  H1: ratio of rates is smaller than ratio_null
 
     y_grid : None or 1-D ndarray
         Grid values for counts of the Poisson distribution used for computing
@@ -973,7 +974,7 @@ def etest_poisson_2indep(count1, exposure1, count2, exposure2, ratio_null=None,
         Same as y_grid. Deprecated. If both y_grid and ygrid are provided,
         ygrid will be ignored.
 
-        .. deprecaated:: 0.14.0
+        .. deprecated:: 0.14.0
 
             Use ``y_grid`` instead.