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Port details

py-statsmodelsComplement to SciPy for statistical computations 0.5.0_2math=0

BROKEN: Fails to build IGNORE: is marked as broken: Fails to build Maintained by:xmj@chaot.net Port Added: 22 Nov 2013 12:40:24 Also Listed In:python License: BSD

Statsmodels is a Python package that provides a complement to scipy for
statistical computations including descriptive statistics and estimation and
inference for statistical models.
Main Features:
* linear regression models: GLS (including WLS and LS aith AR errors) and OLS.
* glm: Generalized linear models with support for all of the one-parameter
exponential family distributions.
* discrete: regression with discrete dependent variables, including Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators
* rlm: Robust linear models with support for several M-estimators.
* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate:
VAR and structural VAR
* nonparametric: (Univariate) kernel density estimators
* datasets: Datasets to be distributed and used for examples and in testing.
* stats: a wide range of statistical tests, diagnostics and specification tests
* iolib: Tools for reading Stata .dta files into numpy arrays, printing table
output to ascii, latex, and html
* miscellaneous models
* sandbox: statsmodels contains a sandbox folder with code in various stages of
* developement and testing which is not considered "production ready", including
Mixed models, GARCH and GMM estimators, kernel regression, panel data models.
WWW: https://www.github.com/statsmodels/statsmodels

To install the port:cd /usr/ports/math/py-statsmodels/ && make install clean

A package is not available for ports marked as: Forbidden / Broken / Ignore / Restricted

Configuration Options

===> The following configuration options are available for py27-statsmodels-0.5.0_2:
DOCS=on: Build and/or install documentation
EXAMPLES=on: Build and/or install examples
===> Use 'make config' to modify these settings

Update the default version of GCC in the Ports Collection from GCC 4.7.4
to GCC 4.8.3.
Part II, Bump PORTREVISIONs.
PR: 192025
Tested by: antoine (-exp runs)
Approved by: portmgr (implicit)

Mark BROKEN: Fails to build
building [html]: targets for 66 source files that are out of date
updating environment: 1739 added, 0 changed, 0 removed
reading sources... [ 0%] anova
Traceback (most recent call last):
...
File
"/wrkdirs/usr/ports/math/py-statsmodels/work/statsmodels-0.5.0/docs/sphinxext/ipython_directive.py",
line 589, in setup
store_history=False)
File
"/wrkdirs/usr/ports/math/py-statsmodels/work/statsmodels-0.5.0/docs/sphinxext/ipython_directive.py",
line 260, in process_input_line
source_raw = splitter.source_raw_reset()[1]
AttributeError: 'IPythonInputSplitter' object has no attribute
'source_raw_reset'
*** [do-build] Error code 1
Reported by: pkg-fallout

Update the default version of GCC used in the Ports Collection from
GCC 4.6.4 to GCC 4.7.3. This entails updating the lang/gcc port as
well as changing the default in Mk/bsd.default-versions.mk.
Part II, Bump PORTREVISIONs.
PR: 182136
Supported by: Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports)
Tested by: bdrewery (two -exp runs)

math/py-statsmodels: Complement to SciPy for statistical computations
Statsmodels is a Python package that provides a complement to scipy for
statistical computations including descriptive statistics and estimation and
inference for statistical models.
Main Features:
* linear regression models: GLS (including WLS and LS aith AR errors) and OLS.
* glm: Generalized linear models with support for all of the one-parameter
exponential family distributions.
* discrete: regression with discrete dependent variables, including Logit,
Probit, MNLogit, Poisson, based on maximum likelihood estimators
* rlm: Robust linear models with support for several M-estimators.
* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate:
VAR and structural VAR

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