Merge pull request statsmodels#5990 from bashtage/spelling

MAINT/DOC: Add spell checking

Author: bashtage

README.rst

@@ -104,7 +104,7 @@ Main Features
 
 * Miscellaneous models
 * Sandbox: statsmodels contains a sandbox folder with code in various stages of
-  developement and testing which is not considered "production ready".  This covers
+  development and testing which is not considered "production ready".  This covers
   among others
 
   - Generalized method of moments (GMM) estimators

docs/source/conf.py

@@ -54,6 +54,16 @@
               'numpydoc'
               ]
 
+try:
+    import sphinxcontrib.spelling  # noqa: F401
+except ImportError as err:  # noqa: F841
+    pass
+else:
+    extensions.append('sphinxcontrib.spelling')
+
+spelling_word_list_filename = ['spelling_wordlist.txt', 'names_wordlist.txt']
+spelling_ignore_pypi_package_names = True
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['_templates']
 

docs/source/datasets/dataset_proposal.rst

@@ -2,7 +2,7 @@
 
 .. _dataset_proposal:
 
-Dataset for statmodels: design proposal
+Dataset for statsmodels: design proposal
 ===============================================
 
 One of the thing numpy/scipy is missing now is a set of datasets, available for

docs/source/dev/test_notes.rst

@@ -12,7 +12,7 @@ using a development install of statsmodels::
     python setup.py develop
 
 This will compile the C code and add statsmodels to your activate python
-environment by creating links from your python environemnt's libraries
+environment by creating links from your python environment's libraries
 to the statsmodels source code. Therefore, changes to pure python code will
 be immediately available to the user without a re-install.
 

docs/source/names_wordlist.txt

@@ -0,0 +1,91 @@
+Josef
+Helmert
+Akaike
+Anscombe
+Armitage
+Athanasopoulos
+Augspurger
+Azzalini
+Bai
+Benjamini
+Bera
+Berndt
+Breslow
+Breusch
+Brockwell
+Bronwyn
+Broyden
+Charlier
+Denton
+Doornik
+Driscoll
+Durbin
+Econometrica
+Efron
+El
+Engle
+Fleiss
+Goldfarb
+Goldfeld
+Gommers
+Granger
+Hampel
+Hannan
+Hastie
+Hauck
+Hausman
+Helmert
+Helmut
+Hobson
+Hochberg
+Hodrick
+Kaplan
+Hurvich
+Hyndman
+Jarque
+Johansen
+Jurgen
+Kerby
+Kolmogorov
+Koopman
+Kraay
+Kwiatkowski
+Levinson
+Liang
+Liu
+Ljung
+Lütkepohl
+Nelder
+Newey
+Nino
+Penrose
+Perktold
+Ploberger
+Quackenbush
+Raphson
+Ridout
+Satterthwait
+Schwarz
+Schwert
+Seabold
+Shephard
+Shanno
+Shedden
+Sidak
+Siem
+Silverman
+Smirnov
+Springer
+Stata
+Tibshirani
+Tukey
+Yichuan
+Zeger
+Zha
+Reuille
+Kotz
+Grunfeld
+Longley
+Koenker
+gliptak
+Spector

docs/source/plots/graphics_regression_abline.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 '''
-Using the state crime dataset seperately plot the effect of the each
+Using the state crime dataset separately plot the effect of the each
 variable on the on the outcome, murder rate while accounting for the effect
 of all other variables in the model.
 

docs/source/plots/graphics_regression_ccpr_grid.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 '''
-Using the state crime dataset seperately plot the effect of the each
+Using the state crime dataset separately plot the effect of the each
 variable on the on the outcome, murder rate while accounting for the effect
 of all other variables in the model.
 

docs/source/plots/graphics_regression_partregress_grid.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 '''
-Using the state crime dataset seperately plot the effect of the each
+Using the state crime dataset separately plot the effect of the each
 variable on the on the outcome, murder rate while accounting for the effect
 of all other variables in the model visualized with a grid of partial
 regression plots.

docs/source/release/index.rst

@@ -23,4 +23,4 @@ What's new in Statsmodels
    version0.6
    version0.5
 
-For an overview of changes that occured previous to the 0.5.0 release see :ref:`old_changes`.
+For an overview of changes that occurred previous to the 0.5.0 release see :ref:`old_changes`.

docs/source/release/old_changes.rst

@@ -170,7 +170,7 @@ the import speed if a library or user only needs specific functions.
 * Time Series Analysis model (tsa)
 
   - Vector Autoregression Models VAR (tsa.VAR)
-  - Autogressive Models AR (tsa.AR)
+  - Autoregressive Models AR (tsa.AR)
   - Autoregressive Moving Average Models ARMA (tsa.ARMA)
     optionally uses Cython for Kalman Filtering
     use setup.py install with option --with-cython